*UPGRADE IN PROGRESS* -- CareerCircle platform upgrades will occur between Monday June 27th 10PM Eastern Time through Tuesday June 28th 4AM Eastern Time.&nbsp; The system may be intermittently unavailable during this timeframe.&nbsp;&nbsp;

*UPGRADE IN PROGRESS* -- CareerCircle is upgrading its capabilities and as a result the system may be temporarily unavailable as we bring new capabilities and infrastructure online to better serve our members.&nbsp; If you receive an error during this timeframe please bear with us as we're working to improve our system and you may need to retry that operation at a later time.&nbsp; &nbsp;

Meta is seeking a Connectivity Engineer to join the Design Engineering and Construction (DEC) team. Our data centers are the foundation upon which our innovative services are delivered, and our rapidly scaling infrastructure operates. The team lights up Meta 's global data centers, delivering the physical infrastructure that connects the world to the videos, feeds, and other information stored on Meta 's server banks.The DEC Connectivity Engineer will provide site level support to ensure DEC telecommunication projects are being executed on schedule, within budget and at the level of quality specified. Connectivity Engineer will be the key point of contact for managing the full project life-cycle including project kick-off all the way through production turnover into operations. DEC Connectivity Engineer is highly collaborative with cross-functional partners at the Data Center Headquarters, our on-site contractor, and other data centers globally. Connectivity Engineer Responsibilities: <ul><li>Project Planning & Control - Create, maintain, and report on site project and program scope, schedules and milestones. Work closely with site project management team throughout the project lifecycle from the creation of project and program plans through project close out.</li><li>Learnings - Continually review ongoing projects for efficiencies in schedule, budget, and opportunities to enable cross-functional partners to be successful. Document data points to assist with field coordination of projects. Support development of project management best practices and initiatives, coordinating SOPs/SIPs with vendors, and participating in global and regional standards. Coordinate lessons learned with the DEC Center of Excellence.</li><li>Forecasting - Support project controls team with forecasting and budget efforts as required. Share current project status with upstream and downstream partners, ensuring crisp and complete handoffs between teams.</li><li>Technical Reviews - Establish milestones for equipment purchase and track and report against these milestones Assist with the selection and review of a contractor to support the structured cabling work within a data center.</li><li>Metrics - Report progress and risks on site projects and other initiatives to key stakeholders.</li><li>Workflow - Work with installation partners to establish and track milestones. Conduct pre-project planning, project handoffs, and ensure design delivery and verification. Identify and respond to project risks and high-priority issues rapidly and effectively through effective action and appropriate escalation. Track and manage project change order requests.</li><li>Vendor Field Management - Responsible for all connectivity activities within construction, projects on site including tracking and reporting actual progress related to schedule expectations. Set and communicate clear expectations together with the immediate site team, build key relationships with our installation partners and drive a culture of best practice, safe working environment and execute to a vision of 'right first time.'</li><li>Quality Assurance - Perform physical inspections to ensure vendor work meets DEC quality standards throughout the lifecycle of the data center. Validate physical installs, test reports, build accuracy, material and local code compliance including constructability reviews on multiple design phases.</li><li>Technical Field Lead - Technical lead for industry and Meta standards, responsible to lead product evaluation, design, and installation methods in the field including scope clarification, design and installation details as the owner of the Request for Information process.</li><li>Technical Coordination - Develop solutions to in-field scope-gap or clash issues. Partner with DEC design and engineering teams to digitally support design reviews, BOM reviews, and as-built drawing validations.</li><li>Communications & Cross functional team engagement - Liaise with construction partners to ensure deliverables are met during new builds and retrofits. Coordinate with logistics partners, vendors, and suppliers to ensure a smooth end to end flow of materials as needed. Work closely with the relevant teams to proactively communicate progress and project risks and initiatives to key stakeholders.</li><li>Safety - Ensure that vendors adhere to safety obligations in accordance with local regulations and DEC Safety best practices. Lead a 'safety first' culture, with open and transparent communication. Acknowledging good EHS practices.</li></ul>Minimum Qualifications: <ul><li>5+ years' experience in project management.</li><li>Experience engaging and guiding stakeholders.</li><li>Experience providing solutions to construction related problems.</li><li>Experience with MS Office (Word, Excel, and PowerPoint) and MS Project.</li></ul>Preferred Qualifications: <ul><li>Experience reviewing and leading installations to design documents and specifications</li><li>Data center development and/or construction management experience.</li><li>Experience with Primavera 6.</li><li>Experience managing IT or IP Network deployment projects in a mission critical environment requiring coordination across multiple disciplines for the delivery of a common goal.</li><li>Experience in leading deployments of Network/Structure cabling infrastructure.</li><li>Experience with fiber optic testing at scale inclusive of complex troubleshooting.</li><li>Experience with outside plant cabling (OSP) deployments including OTDR/OLTS testing.</li><li>Experience with Quality Assurance and Quality Control, including progressive inspections and acceptance.</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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Connectivity Engineer

As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs). By applying your Machine Learning knowledge and technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges in ML systems through insights as well as prototyping ML solutions. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. In contrast to most ML engineering roles, ML in product analytics allows you to work out ML solutions for broader less defined problems where you can use not just ML knowledge but also strong analytical skills to break down complex problems into well-learnable parts.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches including Machine Learning to test them. You will research challenging ML questions to inform experimentation and can build ML prototypes. .Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Data Scientist, Product Analytics - Machine Learning Responsibilities: <ul><li>Partner with cross-functional engineering and product teams to derive quantitative understanding of Meta's ML infrastructure and ML applications to inform future strategy and design ML solutions for complex problems.</li><li>Define, understand, and test opportunities and levers to improve the product through ML models and applications, and drive ML-modeling roadmaps through your insights and recommendations.</li><li>Build ML prototyping solutions.</li><li>Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.</li><li>Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.</li><li>Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.</li><li>Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.</li><li>Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.</li></ul>Minimum Qualifications: <ul><li>A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) with a focus on one of the following: ML Modeling, Ranking, Recommendations, or Personalization systems</li><li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets.</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li></ul>Preferred Qualifications: <ul><li>Masters or Ph.D. Degree in a quantitative field.</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.

Data Scientist, Product Analytics - Machine Learning

Every month, billions of people access Facebook products using mobile devices from across the world. Our mobile teams constantly push the boundaries of the user experience across all our apps, including Facebook, Instagram, WhatsApp, Messenger, and more, as a leader in an exciting and fast-paced industry that is evolving daily. We are seeking full-time Android Software Engineers to join our mobile teams. As an Android Software Engineer, you will specialize in building elegant products on world-class technologies that bring our social experiences to billions of people, anytime and anywhere.We are looking for developers with experience in user interfaces, infrastructure, and/or tools supporting applications on Android using the Android SDK. If you are interested in joining a world-class team of passionate people and industry veterans who like to work hard and play hard, we look forward to hearing from you soon! Software Engineer, Android Responsibilities: <ul><li>Work closely with our product and design teams to build new and innovative application experiences for Android</li><li>Implement custom native user interfaces using the latest Android programming techniques</li><li>Build reusable Android software components for interfacing with our back-end platforms</li><li>Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>5+ years of object-oriented software development experience</li><li>1+ years experience building Android applications in Java or Kotlin using Android SDK</li><li>Experience building maintainable and testable code bases, including API design and unit testing techniques</li><li>Experience with multithreading programming and mobile memory management</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.

Software Engineer, Android

This is an exciting opportunity to work with a diverse group of researchers, engineers and developers focused on developing smart textiles for the next generation of wearables for XR devices. We are specifically looking for a candidate with broad knowledge in smart textiles and garment construction, integration of electronics into soft and flexible systems, and who can work with a team of researchers working in haptics, sensing, tracking, and materials science. The role will include a mix of hands-on build time, as well as time coordinating with XFN partners to execute on testing and specialty manufacturing to bring into prototype development. In addition to working on cutting edge research the candidate will have access to state of the art textile equipment and facilities, and support collaborative research efforts internal and external to the team and company. Softgoods Research Developer Responsibilities: <ul><li>Frame, scope, plan, and execute multidisciplinary development for wearable interaction devices for AR/VR aligned with broader research strategy.</li><li>Work with researchers, designers, and engineers to drive softgoods solutions for wearable AR/VR interaction devices, specifically focused on supporting the design of functionalized gloves.</li><li>Thrive in a dynamic, ambiguous, and cross-disciplinary environment.</li><li>Anticipate and articulate the requirements for soft good prototypes (patternmaking, textile design, component integration) and work with the team through optimizing the trade-space to deliver these functional prototypes.</li><li>Design and develop softgoods prototypes that incorporate novel technologies.</li></ul>Minimum Qualifications: <ul><li>Bachelors degree or equivalent industry experience in a field related to wearable devices and textiles, such as Industrial Design, Fashion Design, Textile Science, Polymer and Materials Science, Mechanical Engineering.</li><li>2+ years research or industry experience in smart textiles or wearables, with demonstrated experience producing high quality prototypes.</li><li>2+ years experience in pattern making for garments using digital tools, such as Optitex or similar.</li><li>2+ years experience 3D or weft knitting and demonstrated experience working and communicating with other programmers to design garments and knit textiles.</li><li>Track record of contributing to high impact projects and teams and delivering research or product prototypes in collaboration with multidisciplinary teams.</li></ul>Preferred Qualifications: <ul><li>Master Degree or equivalent experience in fields listed above.</li><li>2+ years experience working with manufacturing scale textile equipment, such as industrial knitting machines.</li><li>2+ years experience with lamination, bonding, and/or leatherworking for wearable products.</li><li>2+ years working with vendors to source specialty materials for functional textile applications.</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.

Softgoods Research Developer

Meta is seeking a Machine Learning SoC Architect to join its silicon team within the Infrastructure organization which is responsible for designing and operating all of Meta's Data Centers. These Data Centers are the foundation upon which our rapidly scaling business operates, and upon which all of our services such as Facebook, Instagram, Messenger, WhatsApp etc. are delivered to our worldwide user base consisting of approximately half of the world's population.This silicon team is responsible for building hardware accelerators for Data Center servers, to offload the most computationally demanding workloads and execute them with higher performance and lower energy consumption as compared to running them on the CPU/GPU of the server. This is a architect role in which you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets. Machine Learning SoC Architect Responsibilities: <ul><li>Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs.</li><li>Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency</li><li>evaluate performance v/s area v/s power tradeoffs.</li><li>Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs.</li><li>Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture.</li><li>Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.</li><li>Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule.</li><li>Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc.</li><li>20+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis.</li></ul>Preferred Qualifications: <ul><li>Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.</li><li>Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch.</li><li>Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code.</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.

Machine Learning SoC Architect

The DC Networking team is responsible for developing, deploying, and operating Meta's global data center networks. Our work covers the entire network lifecycle, including hardware development, capacity planning, distributed and centralized control systems, modeling/provisioning/automation, monitoring/troubleshooting/analytics, and simulation/design/failure analysis. We are actively seeking Software Engineers to help build and scale our rapidly evolving network infrastructure. We are looking for Software Engineers with a passion for networking and aptitude for building scalable distributed systems. Do you want to work on one of the most dynamic, fast-paced networks in the world? Do you want to develop innovative solutions to our challenges and ship them into production? Then a role on one of our network engineering teams is for you! Software Engineer - Data Center Networking Responsibilities: <ul><li>Design and implement drivers (and/or Firmware) for (network) ethernet adapter functions, Transport stack for RDMA, control functions with the host/accelerators.</li><li>Design and implement Platform services such as programming, monitoring, and controlling system components (Optics, PHY, FPGAs, sensors, fan control, power etc).</li><li>Develop and enhance HPC collective communication and parallel computing libraries such as NCCL, RCCL, OneCCL, and MPI</li><li>Debug complex, system-level, multi-component issues that typically span across multiple layers from Kernel, and user-mode applications.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>4+ years of experience in C/C++ and Python</li><li>4+ years experience in Systems programming, TCP/IP, HTTP/HTTPS, SPDY, DNS, and load balancers</li><li>Experience with network devices (routers, switches, load balancers) and an understanding of network routing protocols</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>Experience with Linux Kernel, especially drivers and network stack</li><li>Working knowledge of transport stack particularly RDMA (RoCEv2)</li><li>Experience with Qemu, FPGA Emulation environment is a plus</li><li>Experience with parallel computing platforms such as CUDA, RoCM and OpenCL</li><li>Experience with parallel computing platforms such as CUDA, RoCM and OpenCL Platform services (program, control, and monitor Optics, PHY, FPGAs, sensors, fan control, power etc), BSP/Board Support Package, Operating Systems, Kernel, Bootloader, Power Management, RTOS, Linux.</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.

Software Engineer - Data Center Networking

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems. Research Scientist, Central Applied Science (PhD) Responsibilities: <ul><li>Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.</li><li>Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.</li><li>Work towards long-term ambitious research goals, while identifying intermediate milestones.</li><li>Communicate best practices in quantitative analysis to partners.</li><li>Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.</li><li>Actively identify new opportunities within Meta's long term roadmap for data science contributions.</li></ul>Minimum Qualifications: <ul><li>Currently has or is in the process of obtaining a PhD in the field of Computer Science, Statistics, Operations Research, or a related 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>Experience with empirical research and for answering questions with data.</li><li>Experience developing algorithms in languages like Python, C, C++ or Java.</li><li>Experience analyzing datasets using languages like Python or R.</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>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>Experience analyzing large datasets using tools like Presto, Hive or Spark.</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as KDD, EC, ICML, NeurIPS, 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.

Research Scientist, Central Applied Science (PhD)

Meta is seeking a data center Mechanical Subject Matter Expert (SME) to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our systems operate to meet the demands of our customers. The Mechanical SME will be a part of the facility operations team and will be responsible for being the mechanical system technical operations expert. The candidate will need to have a broad understanding of mechanical system and equipment function and will be responsible for procedure-based mechanical maintenance, troubleshooting, repair, training, and project oversight. The Mechanical Subject Matter Expert will need to be experienced in diverse technologies such as chiller systems, evaporative cooling, water distribution and treatment, emergency diesel generators, fire suppression systems, and have a working knowledge of building automation systems and electrical distribution. Mechanical Subject Matter Expert Responsibilities: <ul><li>Serve as an onsite technical resource of mechanical infrastructure systems and equipment, with an emphasis on practical field operation</li><li>Ensure appropriate cross-functional collaboration between local mechanical team and applicable local and global teams</li><li>Contribute to mechanical safety program for site</li><li>Plan resource, author or approve work procedures to cover mechanical troubleshooting, repair, retrofit, and maintenance activities, with an emphasis on assessing & mitigating personnel and critical systems and operational risk</li><li>Conduct or oversee hands-on troubleshooting, repair, retrofit, and maintenance of mechanical equipment</li><li>Oversee mechanical system configurations and component upgrades to ensure system integrity is maintained and that all modifications to existing systems comply with best practices, including change control processes</li><li>Provide Quality Assurance/Quality Control (QAQC) oversight of construction projects & maintenance activity</li><li>Lead and/or participate in root-cause analysis activities in area of expertise</li><li>Provide training to Critical Facility Engineers and other cross functional teams on mechanical equipment, systems, procedures, and changes to include mechanical/fire & life safety/industrial water equipment/systems and procedures</li><li>Manage vendor relationships for mechanical maintenance and retrofit work</li><li>Provide feedback on global mechanical maintenance strategies and global electrical system design improvements</li><li>Travel expectations can be significant during the first 1-3 months for initial training and onboarding. After initial onboarding, travel expectations are 10-15%. and then ongoing occasional travel for factory witness tests, collaboration, training, etc.</li></ul>Minimum Qualifications: <ul><li>7+ years relevant mechanical industry experience or mechanical trade level experience</li><li>Bachelor's degree in related field plus 3+ years relevant mechanical industry experience will be considered in lieu of 7+ year mechanical industry experience</li><li>Experience in critical environments</li><li>Experience interpreting blueprints/CAD drawings</li><li>Significant experience in comprehending mechanical plans, specifications, and equipment shop drawings.</li><li>Working knowledge of psychrometric charts and refrigeration cycles</li><li>Theoretical & practical understanding of mechanical equipment & systems, with expertise in mechanical equipment design, maintenance, troubleshooting, testing, and/or construction</li><li>Working knowledge of critical facility operations with experience or understanding of procedure-based work</li><li>Working knowledge of electrical, controls and fire / life safety systems</li><li>Experience working in a highly collaborative, cross-functional environment</li></ul>Preferred Qualifications: <ul><li>Experience in data center industry.</li><li>Familiarity with ASHRAE standards</li><li>Trade Certification or state license in Mechanical (HVAC)</li><li>Equipment field service engineering or representative experience</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.

Mechanical Subject Matter Expert

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, AR/VR and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda. Research Engineer - Reality Labs Responsibilities: <ul><li>Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing.</li><li>Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.</li><li>Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.</li><li>Define short-term research goals, informed by practical engineering concerns.</li><li>Help transition and deliver our work from research into product.</li><li>Adapt standard machine learning and signal processing methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters degree in Computer Science, Computer Engineering, or relevant technical field.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Research experience in machine learning, deep learning, computer vision and/or natural language processing.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</li></ul>Preferred Qualifications: <ul><li>Ph.D. degree and publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.</li><li>First-author publications at peer-reviewed AI or signal processing conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).</li><li>Comfort with rapid prototyping and disciplined software development processes.</li><li>Experience with productizing new research results.</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 Engineer - Reality Labs

The Reality Labs and AI teams at Meta are helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR/VR's potential to change the world is immense -- and were just getting started.Our Core Tech teams explore, develop, and deliver new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, these teams are focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. Software Engineer, Computer Vision (Technical Leadership) Responsibilities: <ul><li>Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient</li><li>Invent, analyze, design, develop and optimize real time VR and AR computer vision algorithms in areas related to 3D reconstruction, SLAM, object detection and tracking, sensor fusion and camera calibration</li><li>Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions</li><li>Develop software for a variety of consumer devices, including novel sensing systems, tracking systems, imaging systems and haptic devices</li><li>Effectively communicate complex features and systems in detail</li><li>Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency</li><li>Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR and VR problem solving</li><li>Understand industry & company-wide trends to help assess & develop new technologies</li><li>Partner & collaborate with organization leaders to help improve the level of performance of the team & organization</li><li>Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas</li></ul>Minimum Qualifications: <ul><li>Experience leading projects with industry-wide impact</li><li>Vast experience communicating and working across functions to drive solutions</li><li>Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision</li><li>Experience in driving large cross-functional/industry-wide engineering efforts</li><li>Significant experience in mentoring/influencing senior engineers across organizations</li><li>Significant experience in programming languages with a technical background</li><li>Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences</li><li>Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning</li><li>Experience in shipping computer vision or image processing products to millions of customers or have started a new line of product</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.

Software Engineer, Computer Vision (Technical Leadership)

Meta is seeking an experienced Construction Manager to join our Data Center Engineering & Construction Team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Building and operating data centers the "right" way is synonymous with ensuring high uptime, capacity availability and capital conservation. The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure. Construction Manager Responsibilities: <ul><li>Manage the construction, commissioning, and turnover of a Data Center within a campus program</li><li>Manage the budget associated with the project</li><li>Manage the cost change process and negotiate best pricing</li><li>Manage the schedule and associated risks to ensure reliable and predictable turnover dates</li><li>Manage warranty and tenant improvement work in the live environment when/as necessary</li><li>Communicate upward regarding the status and risks of the project</li><li>Negotiate vendor and contractor contracts and purchase orders as needed</li><li>Mitigate risk for the project through pre-planning, innovative planning, and partnership</li><li>Develop cost savings solutions and identify project savings/underruns early</li><li>Partner with the General Contractor and other Vendors to build a culture of collaboration</li><li>Partner with Internal Cross Functional Partners to build a culture of collaboration</li><li>Coordinate needs and asks with the Procurement/Sourcing group(s) to support the needs of the Project</li><li>Support the pre-construction efforts for upcoming projects</li><li>Promote prefabrication strategies</li><li>Support the development of Capital Project Budgets and Constructions ROMs</li><li>Support the Campus Construction Manager with the campus-wide book of work including contractor, designer, and vendor management</li><li>Support the on-site inspection process to ensure a zero punch-list and an expeditious turnover to FacOps</li><li>Support the Regional Construction Operations Manager in the management of the regional book of work including contractor, designer, and vendor management</li><li>Support the local DC Ops team and other cross-functional departments as needed</li><li>Promote and model an attitude of continuous improvement, partnership, and teamwork in behaviors and communications</li><li>Support and lead an industry leading safety culture and program</li><li>Promote and model an attitude of openness to giving, seeking, and receiving 360-degree feedback</li><li>10% travel to headquarters</li><li>Respond on an as-needed basis to emergencies</li></ul>Minimum Qualifications: <ul><li>Minimum of ten years of work experience in construction management</li><li>General knowledge of electrical and mechanical systems</li><li>Knowledge of industry standards, building codes and safety standards including fire protection regulations</li><li>Knowledge of capital budget management</li><li>Negotiation skills and experience providing solutions to problems</li><li>Familiar with P6</li><li>Proficient working knowledge of MS Word, Excel, and PowerPoint</li><li>Proficient working knowledge of Bluebeam</li></ul>Preferred Qualifications: <ul><li>Bachelor's degree in Construction Management, Civil Engineering or equivalent degree</li><li>eBuilder software experience</li><li>Procore software experience</li><li>BIM 360 software experience</li><li>MS Visio and SharePoint experience</li><li>LEAN Construction knowledge and application of those tools</li><li>Building Environment Accreditations (i.e. LEED, SITES, TRUE, WELL)</li><li>Mission Critical, infrastructure, and/or Data Center Construction Experience</li><li>Multi-Project experience in large scale construction management, mission critical or infrastructure preferred</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.

Construction Manager

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure. AI/HPC Systems Performance Engineer Responsibilities: <ul><li>Active member of a multi-disciplinary team to develop solutions for large scale training systems.</li><li>Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues.</li><li>Identify potential performance issues across the stack: comms lib, RDMA transport, host networking, scheduling and network fabric. Develop and deploy innovative solutions to address the performance issues.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>BS/MS/PhD in relevant fields (EE, CS), with 4+ years work experience.</li><li>Experience with using communication libraries, such as MPI, NCCL, and UCX.</li><li>Experience with developing, evaluating and debugging host networking protocols such as RDMA.</li><li>Experience with triaging performance issues in complex scale-out distributed applications.</li></ul>Preferred Qualifications: <ul><li>Understanding of AI training workloads and demands they exert on networks.</li><li>Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.</li><li>Understanding of the latest artificial intelligence (AI) technologies.</li><li>Experience with machine learning frameworks such as PyTorch and TensorFlow.</li><li>Experience in developing systems software in languages like C++.</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/HPC Systems Performance Engineer

The MTIA (Meta Training & Inference Accelerator) Software team has been developing a comprehensive AI Compiler strategy and optimizing compiler toolchains. This enables training and inference of Meta's production DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way.We are looking for a Software Engineering Manager who drives the compiler stack development & high performance compilers optimizations and tuning, specific to the MTIA AI accelerator hardware. Software Engineering Manager, AI Compiler Responsibilities: <ul><li>Grow a team of domain experts within AI Compiler.</li><li>Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.</li><li>Operate strategically and tactically. Develop vision, strategy and help set direction for the team.</li><li>Remain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.</li></ul>Minimum Qualifications: <ul><li>Experience with compiler architecture and development, particularly ML compilers or DSLs or static/dynamic languages compilers.</li><li>2+ years of experience in managing a team of compiler engineers of varied skill levels.</li><li>Experience with cross functional collaboration with hardware or AI framework teams.</li><li>Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.</li></ul>Preferred Qualifications: <ul><li>Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, HW architecture specific optimizations.</li><li>Experience in compiling and code generation targeting ML accelerators or custom hardware, GPUs or CPUs.</li><li>Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.</li><li>Experience with MLIR, or LLVM or IREE or XLA or Triton or TVM or Halide.</li><li>Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.</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.

Software Engineering Manager, AI Compiler

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Research Engineer, Language - Generative AI Responsibilities: <ul><li>Design methods, tools, and infrastructure to push forward the state of the art in large language models.</li><li>Define research goals informed by practical engineering concerns.</li><li>Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li><li>Work with a large and globally distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Research experience in machine learning, deep learning, and/or natural language processing.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</li></ul>Preferred Qualifications: <ul><li>Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>A PhD in AI, computer science, data science, or related technical fields.</li><li>Direct experience in generative AI and LLM research.</li><li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</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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