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Our UX Research team is designing for the global diversity of human needs, which requires us to deeply understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain deeper insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale. This job description represents different full-time roles across Meta.We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. We value a diverse range of perspectives and stem from many different backgrounds.We're looking for excellent communicators who are knowledgeable about research devoted to understanding people, and curious about the relationship between technology and society. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta. UX Researcher, Qualitative Responsibilities: <ul><li>Work closely with product and business teams to identify research topics</li><li>Act as a thought leader in the domain of research, while advocating for the people who could use our products</li><li>Design and execute end-to-end custom primary research using a wide variety of methods</li><li>Design studies that address both user behavior and attitudes</li><li>Ability to work independently and autonomously</li><li>Effectively manage and prioritize research plans through ambiguous and fast-changing environments, align and efficiently execute critical insights and work with a large group of stakeholders</li><li>Communicate results and illustrate suggestions in compelling and creative ways</li><li>Work cross-functionally with design, product management, content strategy, engineering and marketing</li><li>Generate insights that both fuel ideation and evaluate designs</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree with 10+ years' of relevant experience in user experience, applied research and/or product research and development or a Master's degree and 8+ years' relevant experience, or PhD and 5+ year relevant experience</li><li>Experience conducting In-Depth Interviews or Focus Groups and Concept Testing or Usability Testing</li><li>Interest in and experience executing hands-on, primary research</li><li>Experience translating research findings into strategic narratives</li></ul>Preferred Qualifications: <ul><li>Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics</li><li>Experience with consumer products, consumer insights, or product development</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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UX Researcher, Qualitative

Meta Reality Labs is a world leader in the design of virtual and augmented reality systems. Come work alongside expert software engineers and research scientists to create the technology that makes VR, MR and AR pervasive and universal.As a QA Lead at Meta Reality Labs (RL), you'll ensure the delivery of a high-quality software and platform for RL product lines, with a focus on VR. You'll be responsible for building and executing test strategy and plans across multiple products and platforms while working with engineering teams to identify and resolve defects. The ideal candidate is a detail-oriented engineer, with experience building great software products and improving engineering efficiency. You'll also debug issues across the hardware and software stack including consumer electronics devices, mobile apps, and web. You are methodical, a self-starter, and meticulous about quality. Join the adventure of a lifetime as we make science fiction real and change the world. QA Engineering Lead, Reality Labs Responsibilities: <ul><li>Build a test-driven engineering culture that drives improvements in quality</li><li>Implement process changes to scale testing efforts across multiple products</li><li>Plan, develop and execute test efforts for multiple platforms</li><li>Identify, test, track and report KPI trends over the course of the projects</li><li>Diagnose issues, report defects, and propose regression tests to discover reoccurrences</li><li>Work with engineers and project leads to triage and prioritize issues for resolution</li><li>Own the process of creating metrics to measure and monitor product performance</li><li>Partner with Automation and Infrastructure team to leverage automation to allow better reliability and scalability</li></ul>Minimum Qualifications: <ul><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>5+ years of driving QA strategy and/or equivalent experience</li><li>Experience debugging applications on Platform, PC and Mobile components</li><li>Experience building, shipping, and maintaining commercial software</li><li>Experience coding in Python, PHP, Java, C/C++ or equivalent language</li><li>Experience with creating from scratch, test planning, test designing and execution, performance and stress testing, implementing and maintaining quality test automation</li><li>Experience partnering and/or collaborating across multiple teams</li></ul>Preferred Qualifications: <ul><li>Experience in managing black box and white box testing</li><li>Experience building, shipping, and maintaining commercial software for consumer electronic devices</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

QA Engineering Lead, Reality Labs

As Product Lifecycle Management (PLM) Analyst at Meta Reality Labs, you will take on a critical role in bringing AR/VR to our customers. You will work side-by-side with engineering and business teams that are leading innovation in this exciting new product category.The PLM Analyst will support product programs by managing component and BOM creation from early concept through obsolescence. You will be able to define system configuration best practices. You are flexible, responsive, hands-on and able to manage competing demands. Product Lifecycle Management Analyst Responsibilities: <ul><li>Manage and organize complex PLM projects and priorities, solve problems that impact release progress and provide detailed information to cross functional teams</li><li>Support Reality Labs product projects from pre-concept through obsolescence</li><li>Create, and release Bills of Material based on input from Engineering, Project Management and Manufacturing to support NPI and production product releases</li><li>Create and release manufacturers, manufacturer and vendor parts and internal part numbers in the PLM system</li><li>Demonstrate a high degree of collaboration to collect data, drawings, specifications from internal and external data sources</li><li>Initiate and manage ECOs, MCOs, Deviations and Stop Ships</li><li>Communicate Engineering BOM and data requirements between Supply Chain and Production to facilitate material planning, order fulfillment, logistics and service requirements</li><li>Contribute to broader PLM organizational goals, including tool and process improvements</li><li>End user support and problem resolution</li></ul>Minimum Qualifications: <ul><li>6+ years of related experience in a high tech, fast paced, consumer electronics environment managing Engineering design/documentation releases</li><li>Hands on experience creating items and changes in a PLM system for part and product releases</li><li>Experience with Mechanical CAD, ECAD and ERP systems</li><li>Familiarity with ANSI/EIA-649 or CMII</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Product Lifecycle Management Analyst

Technical Operations team has the responsibility for evaluating technologies and identifying supply chain solutions that allow FRL Org to deliver products to market at scale. Manufacturing Test Lead will drive the development and deployment of hardware test systems with manufacturing partners and third-party integrators. You will be heavily involved in troubleshooting software issues on test equipment and automation systems. You will help define overall product test strategy, evaluate test equipment and qualification processes, and lead and facilitate integration of test systems into our existing data tracking networks and factory control systems. You will be designing and documenting new manufacturing equipment with standardization and reliability as a priority and creating test plans for validating existing equipment.The ideal candidate is a self-driven individual working in a cross functional team environment and will be responsible for planning the design, development, and implementation of factory test systems. You will enforce manufacturability, testability and ensure cost-effective designs are implemented for testing and automation systems, software, and equipment. This position will have responsibilities for NPI test development and sustaining support of production released test and automation systems.You must be responsive, flexible and able to succeed within an open collaborative peer environment. We are looking for someone with a productive mindset who can apply their expertise to solve problems in creative, insightful ways. Manufacturing Test Engineer Responsibilities: <ul><li>Development and implementation of manufacturing test strategy during development and production phases of product lifecycle. Work with Engineering and vendor test teams to design and assemble bench setups and test fixtures</li><li>Work with Engineering Team to identify the best supplier/partner to meet product requirements from both technical perspective as well as supply chain and manufacturing considerations</li><li>Develop test requirements and methodology with Engineering team, implement manufacturing tests at vendor sites, troubleshoot and solve issues during product development and manufacturing ramp</li><li>Interface directly with the Engineering, Supply Chain, Manufacturing, Quality, and Vendor teams to assist in the development of test procedures, including First Article, Reliability, Environmental, Production and Final Acceptance Testing</li><li>Work directly with the test engineers providing guidance and support as necessary in test methods, equipment, and test set-ups</li><li>Coordination of and travel to suppliers (foreign and domestic) to establish technical and manufacturing processes required during product development and volume manufacturing ramp</li><li>Travel required: up to 40%</li></ul>Minimum Qualifications: <ul><li>BS or MS degree in Electronics Engineering or related field</li><li>5+ years experience in consumer electronic product development & volume manufacturing</li><li>Experienced with domestic and/or international consumer electronics vendors and supply chain</li><li>Understanding of fundamental considerations of building hardware in development and volume production stages</li><li>Experienced in managing detail test coverages and improving test efficiency in engineering and production phase</li><li>Experienced in test automation and test frameworks to enable comprehensive test coverage</li><li>Experienced in managing group of vendor engineer/technicians, building a team providing swift and effective to technical tasks</li></ul>Preferred Qualifications: <ul><li>Experienced in Optical, Audio, Sensor, Camera, RF manufacturing test (FATP or module level), preferably has in-depth understanding in one or more of these areas</li><li>Knowledge of FATP or module test and manufacturing processes with experience managing manufacturing test implementation and execution</li><li>Experience defining, develop, and troubleshooting manufacturing test issues</li><li>Experience building cross-functional relationships at all levels of the organization</li><li>Experience driving results, motivate and collaborate with xfn teams to close issues in a timely manner</li><li>Experience leading and achieving results with minimal supervision</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Manufacturing Test Engineer

At Reality Labs Devices we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. The Devices Sustainability Team is responsible for gathering data to understand our carbon impact, defining leading-edge criteria, and influencing hardware design to reduce carbon emissions in alignment with Meta's 2030 Net Zero Commitment. As a sustainability Technical Program Manager, you will drive implementation of technical sustainability programs that assist in carbon reduction efforts. You will be responsible for driving net-new sustainability initiatives, defining goals, prioritizing initiatives and developing a roadmap plan to intercept new processes into products. This position will require a great deal of cross functional leadership and communication with teams that are not familiar with the subject matter. You must be able to listen to concerns and challenges and influence teams to move in the right direction. Technical Program Manager, Sustainability, Devices Responsibilities: <ul><li>Technical Program Manager for Devices sustainability initiatives across Reality Labs product lines including Quest, Wearables, AR, and Accessories</li><li>Collaborate closely with Sustainability Engineers to drive data collection, analysis, and design recommendations to assist with carbon reduction</li><li>End-to-end ownership of sustainability initiatives including Life-Cycle Analysis implementation during the product development process and goal and metrics definition.</li><li>Continuously innovate and improve processes to drive best practice sustainability approaches into the product development process and ensure the process lands with each new program</li><li>Build the bridge between Devices sustainability and direct engineering teams, creating relationships and influencing designs</li><li>Present sustainability updates and recommendations to leadership, distilling key information on trade-offs and driving strategic scope alignment</li><li>~15% domestic or international travel</li></ul>Minimum Qualifications: <ul><li>BS in engineering or equivalent combination of education and industry experience</li><li>2+ years of hands-on program management experience</li><li>Knowledge of sustainability measurement methodologies</li></ul>Preferred Qualifications: <ul><li>1+ year of sustainability experience</li><li>Experience developing high-volume, sustainable products</li><li>Clear understanding of sustainability trends and leading technologies</li><li>Demonstrated experience driving consumer electronics design cycles</li><li>Experience working with life-cycle analysis consultants and suppliers</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Technical Program Manager, Sustainability, Devices

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Virtual Reality (VR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR/VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, to firmware, and algorithms.We are seeking an SoC Modeling ASIC Engineer to support C++/Python modeling and software interfaces of ML, computer vision and other IPs implemented in our SoC pre-silicon platforms containing dedicated hardware accelerators (HWA). The successful candidate will be part of a team that includes algorithm, software, firmware, pre-silicon platforms, and emulation experts. The ideal candidate will understand SoC architecture, ML and CV accelerators, software interface, and mapping software pipelines to the dedicated hardware accelerators. SoC Modeling ASIC Engineer Responsibilities: <ul><li>Analyze the software pipelines and building Infra and tooling to automatically map them to the hardware accelerators</li><li>Work with architecture team to understand the SoC and IP architecture and develop methodology for enabling sw/hw co-design using presilicon platforms</li><li>Use of C/C++ models for architectural modeling, algorithm benchmarking, and mapping software to the hardware accelerators using pre-silicon platforms</li><li>Map AR workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency using pre-silicon models</li><li>Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, to deliver first pass functional silicon on an aggressive schedule</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Demonstrated knowledge and experience in machine learning and computer vision hardware and software</li><li>Demonstrated experience in mapping software use cases to hardware accelerators and custom silicon</li><li>In-depth understanding of system-on-chip (SoC) architecture, SoC memory hierarchy, and ASIC design flow</li><li>Proficient programming skills in C++ and Python, with the experience to model hardware using software programming languages</li></ul>Preferred Qualifications: <ul><li>Hands-on experience with PyTorch and mapping machine learning models to hardware accelerators in FPGA or virtual prototypes</li><li>Proficiency in performance modeling using SystemC and analyzing the performance of machine learning and computer vision pipelines using pre-silicon models</li><li>Experience in building tool flows and infrastructure for mapping machine learning models to ASICs and custom SoCs</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

SoC Modeling ASIC Engineer

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.We are looking for a creative, skilled and motivated Research Scientist to join our team to build the future of communication - photorealistic telepresence. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by building and implementing production of state-of-the-art methods in computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, depth sensing, 3D reconstruction, and rendering. 3D Computer Vision Research Scientist (PhD) Responsibilities: <ul><li>Conduct applied research to advance the science and technology in Computer Vision and Machine Learning (3D Reconstruction, Novel View Synthesis, Non-Rigid Tracking)</li><li>Work towards long-term ambitious research/prodcut goals, while identifying intermediate milestones</li><li>Contribute to and apply research that advances Meta products</li><li>Conduct and collaborate on research projects within a globally-based team</li><li>Contribute to key papers/projects that hold a position towards remarkable contribution to both the field/company</li><li>and that have general applicability</li><li>Work on a single large initiative or multiple projects of high complexity/scope where you can define a fairly clear long term objective with short and medium term sub-tasks as milestones</li></ul>Minimum Qualifications: <ul><li>Currently has, or is in the process of obtaining a PhD in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta</li><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Research background in machine learning, deep learning, computer vision, or related fields</li><li>3+ years experience in developing and debugging in C/C++, Python, C#, or similar programming language</li><li>3+ years experience in theoretical and empirical research and for addressing research problems</li><li>Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions</li><li>First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH)</li><li>Experience with Machine Learning Principles such as Deep Learning, Computer Vision, etc.</li><li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward</li><li>Experience working and communicating cross functionally in a team environment</li><li>3+ years of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

3D Computer Vision Research Scientist (PhD)

The XR People Generation team works in collaboration with Reality Labs Research partners in order to deliver the future of communication - photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing and productionizing state-of-the-art methods in cross sections of computer graphics, computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, neural rendering, depth sensing, 3D reconstruction, character animation and rendering. AI Research Scientist, Computer Vision - XR People Generation Responsibilities: <ul><li>Conduct applied research and develop novel, accurate AI algorithms and advanced systems for large scale applications</li><li>Work on large initiatives or multiple projects of high complexity/scope and define clear long term objectives with short and medium term goals</li><li>Collaborate with different cross functional teams in research and product sides</li><li>Give technical research direction to the team as tech lead</li><li>Mentor other researchers in the team</li><li>Coding %: 70. System Design %: 30</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>PhD in Computer Science, Computer Engineering, or relevant technical field with 5+ years of experience</li><li>Understanding of state-of-the-art full body human 3D reconstruction and 3D telepresence</li><li>Led XFN groups across research and product towards meeting experiential and engineering targets</li><li>Track record of delivering research into production, driving algorithmic changes towards on-device optimization</li><li>Experience developing computer vision and machine learning algorithms in C/C++ and/or Python/PyTorch</li></ul>Preferred Qualifications: <ul><li>First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH)</li><li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices</li><li>Experience working and communicating cross functionally in a team environment</li><li>Experience in machine learning infra systems</li><li>Experience with CPU/GPU and mobile optimization</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

AI Research Scientist, Computer Vision - XR People Generation

At Meta Reality Labs, we're developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated research scientist to join our data systems team that is advancing state-of-the-art ground truth generation systems with Machine Learning. You will work with other research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment. AI Research Scientist, Computer Vision - XR Input Responsibilities: <ul><li>Contribute to and apply research that advances Meta products and research through generation of high quality data based on computer vision and ML techniques</li><li>Design and prototype data collection systems to accelerate machine learning</li><li>Work with researchers and product engineers to understand data needs, collaborate to find efficient ML oriented solutions</li><li>Improve efficiency and quality of generated ground truth for various input use-cases for AR and VR</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision.</li><li>5+ years of industry experience performing cutting edge research and development in these domains.</li><li>Proven development skills and experience working with PyTorch or TensorFlow</li><li>5+ years experience in developing and debugging in C/C++, Python, C#, or similar programming language.</li><li>Proven experience in working with data for machine learning with demonstrated contributions in improving data quality for machine learning.</li><li>Technical knowledge across a range of topics including machine learning and optimization</li><li>Experience innovating or extending research ideas for new problem domains or for fitting new constraints.</li><li>Interpersonal experience: cross-group and cross-culture collaboration.</li><li>Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.</li></ul>Preferred Qualifications: <ul><li>Experience with joint hardware-software development and associated rapid prototyping.</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at AI conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

AI Research Scientist, Computer Vision - XR Input

At Meta Reality Labs, our goal is to explore, innovate and design the hardware for the next generation of virtual, augmented, and mixed reality experiences. The mission of the battery team is to develop power sources for the devices that enable these experiences.We are looking for an experienced and motivated Battery Modeling Research Engineer to join our team who specializes in leveraging the principles of electrochemistry to maximize the utilization of Li-ion batteries in our products. We are specifically looking for a candidate highly skilled in developing and validating electrochemical models capable of projecting battery performance degradation in the field. Battery Modeling Research Engineer Responsibilities: <ul><li>Design and define research plans, methods, and protocol that deliver on technical roadmap strategy from feasibility to new technology initiatives (NTI) for battery degradation modeling</li><li>Identify major battery degradation mechanisms for our products and develop validated first-principle electrochemical battery models to estimate battery swell behavior and performance degradation in the field</li><li>Help develop and execute research & NTI roadmap and strategy in close coordination with product, research, and XFN teams</li><li>Drive the improvement and development of electrochemical battery models to guide cell design in the architecture phase and eventually incorporate into products</li><li>Develop and validate geometrical models to approximate battery dynamics for a common chemistry formulation in different form factors</li><li>Leverage insights from electrochemical models to propose real-time algorithms which help achieve the right balance between battery performance metrics such as charge time, cycle life and runtime</li><li>Maintain the highest of research standards to ensure validity and reproducibility of results</li><li>Understand data collection methods, analyze field data and develop techniques for predicting field performance from validation data and battery models</li></ul>Minimum Qualifications: <ul><li>BS in Chemical, Material, or Mechanical Engineering or equivalent experience</li><li>3+ years of industry experience in developing physics-based battery models for consumer electronics or electric vehicles</li><li>Modeling, prototyping and programming skills in MATLAB/Python, and/or COMSOL</li><li>Familiarity with standard electrochemical characterization techniques (EIS, GITT, etc.) and experienced in developing custom test procedures in different form factors</li><li>Willingness to work across multiple domains including cell, electrical, software and validation engineering</li></ul>Preferred Qualifications: <ul><li>MS or PhD with 5+ years of experience in software development for battery management systems</li><li>Familiarity with cell manufacturing processes and major Li-ion cell manufacturers for consumer electronics</li><li>Experience with using AI/ML algorithms for battery health diagnostics or forecast</li><li>Knowledge of control and estimation theory, model order reduction techniques and their application to Li-ion battery modeling</li><li>Experience developing test plans to validate the algorithms and implementation for battery management systems</li><li>Working knowledge of battery fuel gauge algorithms for consumer electronics</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Battery Modeling Research Engineer

The Marketing Insights Programs team builds programs that power the Insights function and grow the global researcher community. Marketing Insights Program Managers enhance impact and efficiency by identifying researcher needs and impact opportunities, building strategic systems that achieve strong long-lasting outcomes, and championing Insights POV/needs through cross functional partnerships. The Research Ops Program Manager will design and implement programs that help our talented teams operate at their highest and most effective level. This Program Manager will identify strategic opportunities, design programming, and manage implementation across three areas: Research Best Practices, Policy Compliance, Research Operations. Research Program Manager, Research Operations Responsibilities: <ul><li>Analyze Marketing Insights research operations and compliance needs and prioritize key issues and opportunities</li><li>Engage, partner, and collaborate with research team members and leadership to proactively identify opportunities to leverage programming to improve the efficiency, effectiveness, and impact of our team</li><li>Define success for pillar and programs. Communicate team goals and strategy</li><li>Design and launch programs that reduce process friction and enhance researcher impact and satisfaction</li><li>Move initiatives forward, find resources, predict roadblocks/obstacles, raise concerns to appropriate owners and resolve issues that prevent progress</li><li>Contribute to overall Marketing Insights Program infrastructure, updating processes and tools and initiating improvements where needed</li><li>Demonstrate best-in-class internal communications that break through and inspire action</li><li>Jump in on special projects, help team respond to new and shifting priorities</li></ul>Minimum Qualifications: <ul><li>BA/BS degree or higher</li><li>8+ years of experience in financial operations or project/program management</li><li>Proven track record of identifying pain points, designing and implementing strategic programs that yield business results, and scaling operations in a business context</li><li>Familiarity with market research and program management (both strategy/design and execution)</li><li>Experience leveraging communication to influence horizontally, cross functionally, and among executives</li><li>Experience applying organized/structured approach to complex logistics</li><li>Experience building cross functional relationships and leading effective collaborations</li><li>Understanding of market research principles and practices</li></ul>Preferred Qualifications: <ul><li>Experience working in market research and/or with market researchers</li><li>Experience working with marketing teams</li><li>Experience working in or with large, fast-paced organizations with frequent cross-functional collaboration</li><li>Vendor management experience</li><li>Experience building teams / practices</li><li>Experience managing budgets</li><li>Experience conducting research, especially marketing and communications research</li><li>Experience leading coaching and training related programming</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Program Manager, Research Operations

Meta's Reality Labs(RL) focuses on delivering Meta's vision through Augmented Reality (AR). Compute power requirements of Augmented Reality require custom silicon. Meta RL Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistor, through architecture, to firmware, and algorithms. As a Design Verification Engineer at Meta Reality Labs, you will work with a world-class group of researchers and engineers, and use your digital design and verifications skills to implement the testing infrastructure to validate new core IP implementations and contribute to development and optimization of state of the art vision and sensing algorithms. You will work closely with researchers, architects and designers in creating test bench requirements and test cases for multiple state of the art IPs.Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Design Verification Engineer, Silicon Engineering (University Grad) Responsibilities: <ul><li>Define and implement IP/SoC verification plans, build verification test benches to enable IP/sub-system/SoC level verification.</li><li>Drive design verification to closure based on defined verification metrics on test plan, functional and code coverage.</li><li>Debug, root cause and resolve functional failures in the design, partnering with the design team.</li><li>Collaborate with cross functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring highest design quality.</li></ul>Minimum Qualifications: <ul><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Knowledge of System Verilog, VHDL or similar hardware description language.</li><li>Knowledge of Computer Architecture, Logic Design fundamentals, object oriented programming concepts.</li><li>Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Currently has, or is in the process of obtaining, a Master's degree in Electrical Engineering, Computer Engineering, Computer Science or similar technical field.</li><li>Creativity and problem solving skills.</li><li>Scripting capability with Python or Perl.</li><li>Knowledge in object oriented programming/UVM based verification environments.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Design Verification Engineer, Silicon Engineering (University Grad)

Meta is looking for a Reality Labs (RL) Retail Operations Analyst. This person will be responsible for planning, budgeting, communicating, building, maintaining, and reporting on all aspects as it relates to Channel Experiences Operations programs across all of our existing and future partners. There will be a required financial focus that this role will require. This role plays an instrumental part in contributing to the RL vision for our global customers to find, learn and experience RL products through physical retail. It is beneficial to have experience with retail and marketing operations, data architecture and analysis, dashboarding/visualization of data, and budget management.The candidate must be able to plan, execute, and evaluate complex projects where analysis of situations and decision making requires an evaluation of unclear and unknown factors. Building relationships to influence leadership to align on direction for broad projects spanning across several organizations is a critical capability. The primary role of the RL Retail Operations Analyst is to ensure that everything data, budget and records related is maintained, housed, and managed with accuracy, accessibility and visualization (dashboards) in mind. In addition, mastery and maintenance of the budget is critical to the operations. Being able to proactively identify problems and assess problems when presented to create and implement a solution. The role is impact, accuracy and organization oriented with the goal of defining functional strategy and setting goals across orgs. The RL Retail Operations Analyst must be comfortable in a fast-paced environment with constant change executing multiple projects, while working collaboratively and communicating clearly across teams such as channel marketing, finance, operations, sales, analytics, and external vendors. Retail Operations Analyst, Reality Labs Responsibilities: <ul><li>Build processes for the org based on business needs and requirements presented from the org.</li><li>Manage/Maintain/Visualize large volumes of data from multiple sources globally.</li><li>Partner closely with Channel Marketing Managers, Strategic Account Managers, 3rd party labor partners, Analytics and Channel Services team members on a regular basis to run the business with the utmost efficiency and accuracy.</li><li>Act as liaison between global 3rd party labor partners, channel marketing managers and channel services for data management.</li><li>Assess and make calculated decisions to maximize ROI and efficiency by leveraging partnerships with the internal analytics team.</li><li>Build highly detailed analysis recommendations for a variety of RL initiatives across all product lines.</li><li>Create, maintain, and enforce processes for all operations globally in store and with 3rd party labor partners.</li><li>Review instructions and execution for multiple projects simultaneously with a keen eye for detail.</li><li>Manage the reporting of the results of the field execution to internal stakeholders via internal dashboards.</li><li>Process all invoices and work closely with the Global Field Merchandising Manager to ensure all 3rd party labor projects are on budget and tracked accordingly.</li><li>Develop and launch KPI management tools and dashboard by managing engineering resources.</li><li>Partner with Finance and the Center of Excellence on budget forecast and management.</li></ul>Minimum Qualifications: <ul><li>5+ years of professional experience in retail, finance, channel marketing analytics or relevant experience.</li><li>Budget and fiscal management experience.</li><li>Experience understanding the unique operating conditions within retailers domestically and globally and how that impacts the planning and executing of the initiatives for all product lines.</li><li>Experience sharing program/project updates across broad teams and organizations - transparency is key within the Meta culture.</li><li>Experience Creating/Managing Data Visualization</li><li>Extremely high level of accuracy and attention to detail with the experience to track and articulate the intricacies of reporting results for project execution.</li><li>Experience managing relationships with cross-functional stakeholders and external vendors.</li></ul>Preferred Qualifications: <ul><li>Consumer Electronics experience.</li><li>Experience with Tableau, PowerBi, Alteryx, Hive and other data visualization and customization tools.</li><li>Tableau Certified Data Analyst preferred</li><li>Microsoft and Google Suite expert proficiency</li><li>Familiarity with retail partners and their guidelines / processes.</li><li>Experience within a brand managing analysis and budgets.</li><li>Experience in reporting on large-scale launches and programs.</li><li>Experience in working in a highly cross-functional setting.</li><li>Experience translating complex engineering and data related items to make them understandable by the lowest common denominator.</li><li>Data Modeling and Analysis</li><li>Familiarity working with SAP or Oracle financial systems datasets</li><li>Understanding of SQL subqueries, statements, join types, window functions, common table expressions</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Retail Operations Analyst, Reality Labs

As a QA Engineering Manager, VR/MR, you will lead a team of QA Leads whose mission is to ensure the delivery of a high-quality software and platform for the Meta Reality Labs (VR/MR) product lines. The team is responsible for developing and implementing the product quality strategy and plans across multiple products and platforms. Our team of QA Leads build and execute the product quality strategy and plans across multiple products and platforms. They are responsible for debugging issues across the hardware and software stack including consumer electronics devices, mobile apps, and web. They possess intimate knowledge of current issues, build heat maps and bug burn-downs, along with track and report detailed metrics to key stakeholders which would lead to go/no-go decisions per milestone.The ideal candidate is a quality assurance leadership expert with strong communication skills and previous experience as a detail-oriented QA engineer. The candidate should also have a passion for building great hardware and software products and consumer electronics device experience, this includes a deep understanding of varying testing techniques and the ability to come up with new methods through out-of-the-box thinking. Your team will ensure the release of RL products that will delight our customers QA Engineering Manager, Meta Reality Labs Responsibilities: <ul><li>Build a test-driven engineering and development culture that drives improvements in quality</li><li>Recruit and lead technical talent, be both highly technical and an effective people manager</li><li>Identify key quality metrics and report on them regularly to keep stakeholders informed on the current quality of the product</li><li>Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level</li><li>Implement process changes to scale testing efforts across multiple product lines</li><li>Work along-side hardware and software engineers, program managers and QA to triage issues and help the engineering teams make informed go/no-go decisions</li><li>Partner with Automation and Infrastructure teams to leverage automation for scalability and reliability</li></ul>Minimum Qualifications: <ul><li>BS/MS in Computer Science or equivalent experience</li><li>3+ years of experience building and managing technical teams, including performance management</li><li>Experience directing contingent workers</li><li>7+ years experience leading QA activities</li></ul>Preferred Qualifications: <ul><li>Experience testing consumer devices</li><li>Experience working on virtual reality platforms/devices</li><li>Experience coding in Python, PHP, Java, C/C++ or equivalent language</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

QA Engineering Manager,  Meta Reality Labs

Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products including the Quest line. This role will contribute to the creation of next-gen AR/VR interaction technologies in a cross-functional team of software, infra, computer vision, machine learning, simulation, and AI image generation engineers. This role will leverage expertise in computer vision, synthetic data, and AI-based image generation to contribute to ML models shipped in Meta AR/VR products. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, HW design.The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers. We work cross-functionally with teams across multiple disciplines, such as simulation, AR/VR optics, Reality Labs Research, silicon, and sensors, to design and develop novel ML solutions tailored for the requirements and constraints of each particular device. Lead Software Engineer - Computer Vision, Synthetic Image Generation Responsibilities: <ul><li>Tech lead for development and launch of CV/ML solutions for generating and synthesizing images used in training of AR/VR models and system design</li><li>Drive cross-functional collaborations with partner teams including but not limited to RL research, simulation, data systems, CoreAI, and GenAI.</li><li>Hands-on contribution to synthetic image generation using deep generative models, computer graphics, or physics-based simulation</li><li>Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity, controllability, and generalizability of image synthesis including techniques to enhance appearance and geometric realism, conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or multiple input modalities, and controllable image generation with manipulation of specific attributes like style and appearance.</li><li>Co-own strategic planning, OKR setting, and roadmap generation for synthetic data sub-team. Co-create roadmap and vision for R&D initiatives.</li><li>Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientist, interns, and contractors.</li><li>Work with RL leadership and cross-functional teams to understand business requirements and translate them into machine learning projects</li><li>Optimize machine learning models for performance, scalability, and maintainability. Collaborate with other engineers and data scientists to develop and deploy machine learning solutions.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Proven Technical background in one or more of the following areas: Machine Learning, Deep Learning, Neural Networks, Image Processing, Computer Vision, Image Synthesis, Generative AI.</li><li>Experience in developing computer vision algorithms and deep learning models in Pytorch, Tensorflow and similar platforms.</li><li>Working knowledge of synthetic image generation using deep generative models, computer graphics, or physics-based simulation.</li><li>5+ years of technical leadership experience driving medium to large-scale cross-functional R&D projects focused on machine learning and computer vision.</li><li>Proven programming skills in Python and C/C++</li><li>Experience with distributed computing and large-scale data processing</li><li>Problem-solving and interpersonal skills and experience to lead technical projects independently</li><li>Proven communication and collaboration skills</li></ul>Preferred Qualifications: <ul><li>Ph.D. in Computer Science, Electrical Engineering, Data Science, or equivalent field</li><li>Publication track record in image generation and computer vision in top conferences including CVPR, NeurIPS, ICCV, ICML, etc.</li><li>Experience in computer graphics, procedural generation, and avatar rendering</li><li>Experience in classical image processing and pose estimation</li><li>Work experience in AR/VR industry</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Lead Software Engineer - Computer Vision, Synthetic Image Generation

Meta is seeking an ASIC Engineer, Design to join our Infrastructure organization to build cutting edge ASICs in fields such as machine learning, video transcoding and network acceleration. This organization is responsible for building and maintaining the data centers that host all of our services - Facebook, Instagram, WhatsApp etc. These servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. In this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with experts in the domain of video transcode, AI/ML and other technologies to evaluate algorithms, develop functional and performance models and help architect state-of-the art hardware accelerator ASICs. Come work and learn alongside our expert engineers to build Green" data center accelerators. ASIC Engineer, Design (University Grad) Responsibilities: <ul><li>Participate in Micro-architecture, Design, and Verification reviews and provide feedback.</li><li>Design and develop RTL or HLS code for some of the IPs.</li><li>Analyze designs and enhance PPA (Power, Performance, Area).</li><li>Support and develop Verification Infrastructure, analyze and improve Verification Coverage.</li><li>Support Simulation accelerators and post-Silicon validation.</li></ul>Minimum Qualifications: <ul><li>Exposure to Micro-architecture development.</li><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Exposure to RTL development using Verilog, System Verilog or HLS.</li><li>Knowledge of Computer Architecture and Logic Design fundamentals.</li><li>Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Currently has, or is in the process of obtaining, a Masters degree in Electrical Engineering, Computer Engineering or related engineering fields.</li><li>Experience in data path development.</li><li>Experience in HLS.</li><li>Experience with Lint, CDC, Synthesis, & Power Optimization.</li><li>Experience with High Performance Computing.</li><li>Scripting capability with Python or Perl.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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