*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;

The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges in the datacenter network domain. We constantly push the boundaries of what is possible. We create new and innovative ways of designing and operating our global datacenter networks and do it at scale with efficiency. We imagine what our tomorrow is going to be and make it a reality.Data Center Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide Data Center network. This team owns the complete lifecycle of the Data Center network, which includes areas of planning, design, product definition, QA, deployment, and monitoring. Simple, elegant, and scalable network design, automation, and data analytics are the keys to meeting our demands. In this role, you will be part of a team that is responsible for conceiving design solutions, developing and deploying network software, systems, and tools that keep the Data Center network operating at maximum reliability, scalability, and efficiency. Data Center Network Engineer Responsibilities: <ul><li>Design network topologies and configuration for the DC Fabric networks</li><li>Develop IP addressing and routing policy intent in the DC</li><li>Create deployment packages and maintain as-built documentation for installed network gear</li><li>Establish and implement global best practices and contribute to the design of new scalable network solutions</li><li>Define and partner with network hardware, software, and vendor teams on the development of network platforms (switch and optics)</li><li>Partner with the in-house SWE, Tooling, Planning, Simulation, and Delivery teams to codify the network designs</li><li>Participate in an on-call rotation to support the global datacenter network infrastructure 24x7</li><li>10% of travel required</li></ul>Minimum Qualifications: <ul><li>5+ years of work experience responsible for designing, deploying and operating large-scale networks</li><li>Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, OSPF, MPLS, RSVP-TE)</li><li>Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6</li><li>Experience working in a multi-vendor environment with hands-on experience with networking hardware</li><li>Experience in at least one programming language like Python, Go, C/C++ for developing automation software or tooling</li><li>Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling</li><li>Experience managing multiple projects simultaneously and deliver against deadlines</li><li>Experience working in global team environments and solve problems</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Working knowledge of 40/100/400G Ethernet and CWDM, DWDM and optical transport network technologies</li><li>Understanding of different Optics and internals of a switch ASIC</li><li>Familiarity with the Linux based systems</li><li>Technical leadership 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.

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Data Center Network 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

At GenAI, we're developing the cutting edge AI technologies that will define the future of content creation, productivity and social media. We are looking for a creative, skilled and motivated Research Scientist to join our media foundation modeling team in advancing the state-of-the-art of image and video foundation models. You will work with research scientists, software engineers and data scientists to design technical solutions in a fast-paced multidisciplinary environment. Research Scientist, Computer Vision (PhD) Responsibilities: <ul><li>Work with researchers to develop input architectures that combine vision and language.</li><li>Design and prototype interactive experiences and evaluate them through user research.</li><li>Design and prototype data collection systems to accelerate machine learning.</li><li>Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).</li></ul>Minimum Qualifications: <ul><li>Currently has, or is in the process of obtaining, a PhD degree in Computer Science, 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>Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.</li><li>Experience working with PyTorch or TensorFlow.</li><li>Experience with sequence modeling, domain adaptation or representation disentanglement.</li><li>Experience designing data collection protocols and quality control.</li><li>Technical knowledge across topics including machine learning, optimization, Bayesian statistics and state estimation.</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 experience in end-to-end speech recognition or real-time statistical text decoding.</li><li>Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.</li><li>Experience with joint hardware-software development and associated rapid prototyping.</li><li>Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.</li><li>Experience working and communicating cross-functionally in a team environment.</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, Computer Vision (PhD)

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Graphics Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Graphics Software Engineer, Rendering - Reality Labs Responsibilities: <ul><li>Develop innovative graphics frameworks, algorithms, and tools to maximize graphics quality and performance</li><li>Partner closely with various infra and product teams across Meta, on camera, graphics, upcoming hardware, media enhancements, and more to create real-time rendering architecture</li><li>Building tools and pipelines for generating very realistic synthetic images</li><li>Enable high fidelity experiences through remote compute solutions on smaller devices with limited battery</li><li>Building rendering subsystems for platforms such as Spark AR and Horizon</li><li>Build a platform for cloud streamed games</li><li>Document and support graphics features</li><li>Write high-quality, performant, and maintainable code</li><li>Collaborate with cross-functional engineering teams to deliver innovation into AR/VR products</li></ul>Minimum Qualifications: <ul><li>5+ years of graphics software engineering experience or 2+ years of graphics software engineering experience with PhD</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>5+ years of experience with C/C++ programming</li><li>5+ years of object-oriented and component-based design experience</li><li>Problem-solving and communication skills</li></ul>Preferred Qualifications: <ul><li>Experience delivering AAA Games, working on Graphics subsystems or the Game Engine AR/VR experience</li><li>Knowledge of ray tracing, rasterization and linear algebra</li><li>Experience with low level performance profiling and optimization</li><li>Experience implementing 3D graphics features such as lighting, effects, shaders and other low-level systems</li><li>Experience with tools such as Maya, Houdini, Blender, 3Ds Max, Arnold, RenderMan, or Cycles</li><li>Experience with either DirectX/Vulkan/OpenGL/Metal</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.

Graphics Software Engineer, Rendering - Reality Labs

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Graphics Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Graphics Software Engineer, Rendering - Reality Labs Responsibilities: <ul><li>Develop innovative graphics frameworks, algorithms, and tools to maximize graphics quality and performance</li><li>Partner closely with various infra and product teams across Meta, on camera, graphics, upcoming hardware, media enhancements, and more to create real-time rendering architecture</li><li>Building tools and pipelines for generating very realistic synthetic images</li><li>Enable high fidelity experiences through remote compute solutions on smaller devices with limited battery</li><li>Building rendering subsystems for platforms such as Spark AR and Horizon</li><li>Build a platform for cloud streamed games</li><li>Document and support graphics features</li><li>Write high-quality, performant, and maintainable code</li><li>Collaborate with cross-functional engineering teams to deliver innovation into AR/VR products</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>6+ years of graphics software engineering experience or 2+ years of graphics software engineering experience with PhD</li><li>6+ years of experience with C/C++ programming</li><li>6+ years of object-oriented and component-based design experience</li><li>Problem-solving and communication skills</li></ul>Preferred Qualifications: <ul><li>Experience delivering AAA Games, working on Graphics subsystems or the Game Engine AR/VR experience</li><li>Knowledge of ray tracing, rasterization and linear algebra</li><li>Experience with low level performance profiling and optimization</li><li>Experience implementing 3D graphics features such as lighting, effects, shaders and other low-level systems</li><li>Experience with tools such as Maya, Houdini, Blender, 3Ds Max, Arnold, RenderMan, or Cycles</li><li>Experience with either DirectX/Vulkan/OpenGL/Metal</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.

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an Embedded Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Embedded Software Engineer, BSP/Kernel - Reality Labs Responsibilities: <ul><li>Design and implement components at all layers of the system, e.g. kernel, synchronization primitives, resource allocators, memory management, security, I/O systems, persistence, etc.</li><li>Design and implement drivers and services that operate efficiently in a constrained environment yet when pressed can efficiently deliver large volumes of data with low-latency and high-bandwidth.</li><li>Own the definition of one or more work streams focused on hardware bringup, peripheral drivers and communication, silicon integration and power and performance management and optimization.</li><li>Debug complex, system-level, multi-component issues that typically span across multiple layers from kernel to application.</li><li>Profile performance problems and drive optimizations that span the entire software stack.</li><li>Bring up new devices and lead debugging and performance tuning exercises that span multiple hardware/firmware/software teams.</li><li>Understand software components from multiple partner teams, lead the integration of those components into the unified product code base, and drive their continued development.</li></ul>Minimum Qualifications: <ul><li>Bachelor's or Master's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>6+ years' Software Engineering experience in the following: device driver development, embedded systems, or operating systems.</li><li>6+ years' experience working on systems software in a large-scale C/C++ code base.</li><li>2+ years' experience defining and driving technical work streams and providing technical leadership for software engineering teams.</li><li>Experience with Software Development processes including: source control, bug tracking, and design documentation.</li><li>Experience in hardware bringup using interfaces like ADC, GPIO, SPI, I2C, etc.</li><li>Experience in one or more of the following areas: BSP/Board Support Package, Operating Systems, Android OS, RTOS, Bootloader, Power Management, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Experience developing, debugging, and shipping software products on large code bases that span platforms and tools.</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Deep specialized experience in two or more of the following areas: BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Demonstrated experience working collaboratively in cross-functional teams.</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.

Embedded Software Engineer, BSP/Kernel - Reality Labs

Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models. Research Scientist - Generative AI (PhD) Responsibilities: <ul><li>Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.</li><li>Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Work with a large and globally distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li><li>Help identify long-term ambitious research goals as well as intermediate milestones.</li><li>Prioritize research that can be applied to Meta's product development.</li><li>Mentor other team members. Play a significant role in healthy cross-functional collaboration.</li></ul>Minimum Qualifications: <ul><li>Bachelor'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>Experience holding an industry, faculty, or government researcher position.</li><li>Publications in machine learning.</li><li>Experience writing software and executing complex experiments involving large AI models and datasets.</li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</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></ul>Preferred Qualifications: <ul><li>Direct experience in generative AI and LLM research.</li><li>2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.</li><li>First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</li><li>Experience in developing and debugging in Python.</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 - Generative AI (PhD)

Meta Reality Labs Research (RL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of augmented and virtual reality. We are currently seeking researchers with a passion for technology to develop the next generation of digital humans and avatars. The focus of this role includes human shape, motion, and appearance capture, biophysical modeling, simulation and rendering. The position requires a combination of education and experience in computer vision, computer graphics, robotics and machine learning. Research Engineer, Capture and Reconstruction of Digital Humans Responsibilities: <ul><li>Plan and execute cutting-edge research to advance the state of the art in digital humans and avatars.</li><li>Develop new advanced technologies related to the generation of realistic digital humans.</li><li>Collaborate with other researchers, engineers, and 3D artists to prototype hardware and software solutions, experiments, and concepts that advance the entire project.</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>3+ years of experience in AI models and 3D human shape and pose capture, dynamic model reconstruction, photorealistic rendering and relighting, motion synthesis and retargeting, or physics-based simulation.</li><li>Interpersonal experience: cross-group and cross-culture collaboration.</li><li>Experience with C++, Python, Pytorch.</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>Currently has, or is in the process of obtaining, a Master's degree in the field of Computer Vision, Computer Graphics or Machine Learning.</li><li>Experience with character generation for high-end VFX and/or video game applications.</li><li>Experience with designing real-time systems in C++ and Cuda.</li><li>Experience with 3D software: Maya or Blender, and Unity or Unreal.</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents. First-authored publications at leading conferences such as CVPR, ICCV, ECCV, SIGGRAPH.</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, Capture and Reconstruction of Digital Humans

Meta is seeking a data center Electrical 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 Electrical SME will be a part of the facility operations team and will be responsible for being the electrical system technical operations expert. The Electrical Subject Matter Expert will need to have a broad understanding of electrical system and equipment function and will be responsible for procedure-based electrical maintenance, troubleshooting, repair, training, and project oversight. The candidate will need to be experienced in Low Voltage & Medium Voltage power distribution, electrical protection & controls systems, UPS and battery systems, electrical testing, applicable electrical codes and standards, and have a basic understanding of mechanical systems. Electrical Subject Matter Expert Responsibilities: <ul><li>Serve as an onsite technical resource of electrical infrastructure systems and equipment, with an emphasis on practical field operation</li><li>Ensure appropriate cross-functional collaboration between local electrical team and applicable local and global teams</li><li>Contribute to electrical safety program for site</li><li>Plan resource, author or approve work procedures to cover electrical 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 electrical equipment</li><li>Oversee electrical system configurations and component upgrades to ensure system integrity is maintained and that all modifications to existing systems are in compliance 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 electrical equipment, systems, procedures, and changes</li><li>Manage vendor relationships for electrical maintenance and retrofit work</li><li>Provide feedback on global electrical 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 electrical industry experience or electrical trade level experience</li><li>Bachelor's degree or trade certification in related field plus 3+ years relevant electrical industry experience will be considered in lieu of 7+ years relevant electrical industry experience</li><li>Working knowledge of critical facility operations with experience or understanding of procedure-based work</li><li>Experience in critical environments</li><li>Experience in comprehending electrical plans, specifications, and equipment shop drawings</li><li>Theoretical and practical understanding of power equipment & systems, with expertise in electrical equipment design, maintenance, troubleshooting, testing, and/or construction</li><li>Experience working in a highly collaborative, cross-functional environment</li><li>Experience interpreting blueprints/CAD drawings</li><li>Working knowledge of mechanical, controls, and fire and life safety systems</li></ul>Preferred Qualifications: <ul><li>Experience in a data center industry</li><li>NETA or NICET electrical testing experience/certifications</li><li>Instrumentation & control, power system protection, power automation, etc. experience</li><li>Experience in high voltage (up to 345kV) equipment construction, operation, and maintenance</li><li>Trade Certification or state license as an electrician</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.

Electrical Subject Matter Expert

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an OS Frameworks Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Software Engineer, OS Frameworks - Reality Labs Responsibilities: <ul><li>Lead and set direction in how Meta Reality Labs develops its future capabilities to deliver best-in-class VR devices.</li><li>Develop APIs in the system-level framework layer that allow other layers of the stack to implement compelling and performant use cases.</li><li>Collaborate with cross-functional teams of partners, product managers and engineers to build an end-to-end solution.</li><li>Work with Application and Platform teams to debug functional, performance and stability issues across the stack.</li><li>Build on OS internals. Set technical direction for significant improvements.</li><li>Uplift coding and design skills on the team through reviews and introduction of best practices. Model behaviors through clean readable code, upfront debug-ability and testability when implementing complex components.</li><li>Work closely with product management, application software engineers and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks.</li><li>Participate in design reviews and code reviews for the team.</li></ul>Minimum Qualifications: <ul><li>Bachelor degree or equivalent experience in the field of Computer Science, Computer Engineering or a similar field</li><li>6+ years of Software development experience</li><li>3+ years of experience in developing any of the following: Desktop applications, Operating Systems, AOSP, Identity, Device management on iOS/Android, Device Security, Android Enterprise</li><li>Experience with Android, macOS, or Windows internals or frameworks services</li><li>Experience with coding in both C++ and Java</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>3+ years experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development</li><li>1+ years of experience developing software for Mobile platforms (Android/iOS)</li><li>Experience with Android performance tools and security models</li><li>Experience with Android UI frameworks and services</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, OS Frameworks - Reality Labs

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an OS Frameworks Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Software Engineer, OS Frameworks - Reality Labs Responsibilities: <ul><li>Lead and set direction in how Meta Reality Labs develops its future capabilities to deliver best-in-class VR devices.</li><li>Develop APIs in the system-level framework layer that allow other layers of the stack to implement compelling and performant use cases.</li><li>Collaborate with cross-functional teams of partners, product managers and engineers to build an end-to-end solution.</li><li>Work with Application and Platform teams to debug functional, performance and stability issues across the stack.</li><li>Build on OS internals. Set technical direction for significant improvements.</li><li>Uplift coding and design skills on the team through reviews and introduction of best practices. Model behaviors through clean readable code, upfront debug-ability and testability when implementing complex components.</li><li>Work closely with product management, application software engineers and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks.</li><li>Participate in design reviews and code reviews for the team.</li></ul>Minimum Qualifications: <ul><li>Bachelor degree or equivalent experience in the field of Computer Science, Computer Engineering or a similar field</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>5+ years of Software development experience</li><li>3+ years of experience in developing any of the following: Operating Systems, AOSP, Identity, Device management on iOS/Android, Device Security, Android Enterprise</li><li>Experience with Android, macOS, or Windows internals or frameworks services</li><li>Experience coding in either C++ or Java</li></ul>Preferred Qualifications: <ul><li>3+ years experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development</li><li>1+ years of experience developing software for Mobile platforms (Android/iOS)</li><li>Experience with Android performance tools and security models</li><li>Experience with Android UI frameworks and services</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.

Meta is seeking a versatile Hardware Engineer to join our Compute Hardware team. Our mission is backed by a massive hardware infrastructure. Our computational challenges are big, complex, and consistently evolving. Your work has the potential to shape the compute hardware going into our cutting-edge data centers affecting billions of users. Hardware Engineer Responsibilities: <ul><li>Work with local and remote teams and suppliers, to define product roadmap and program.</li><li>Specify, design, and develop CPU/GPU/ASIC based compute hardware solutions, and ASIC enabling hardware.</li><li>Lead the bring-up, validation, and launch of hardware systems.</li><li>Support hyper-scale deployment and obtain learning for next generation design.</li><li>Collaborate with open source hardware community to drive innovation for large scale infrastructure.</li></ul>Minimum Qualifications: <ul><li>Experience with development and bring-up of data center system equipment, or complex consumer devices.</li><li>BS in Electrical Engineering or Computer Engineering, or related Engineering Degree, with 3+ years of industry experience or equivalent experience.</li><li>Experience in working with peers.</li><li>3+ years of experience with PCB design with both integrated and discrete circuits, and high-speed interfaces.</li><li>Experience with analyzing and resolving system hardware issues.</li></ul>Preferred Qualifications: <ul><li>5+ years of industry experience.</li><li>5+ years of experience with end-to-end enabling, design, and deployment cycle of multiple generations of products</li><li>M.S. in electrical engineering or computer engineering.</li><li>Experience with owning and delivering a complete hardware enclosure as technical lead with other cross functional teams in engineering, program, and operation</li><li>Familiar with server system architecture of one of major CPU/GPU suppliers.</li><li>Experience with design and troubleshoot data buses used in server such as PCIe, CXL, DDR, SAS, SATA, I2C.</li><li>Experience with industry standard EDA tools for developing and reviewing PCB designs.</li><li>Experience with using high speed scope, logic analyzer, and other validation methods in validating and troubleshooting server data bus (e.g. PCIe, SAS, SATA).</li><li>Knowledge of using Linux for hardware validation and troubleshooting.</li><li>Experience with working with thermal, mechanical, management firmware, system firmware, and software teams during product development.</li><li>Experience with designing ASIC verification & bring up hardware.</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.

Hardware Engineer

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. Research Scientist, Neural Interfaces (PhD) Responsibilities: <ul><li>Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.</li><li>Help transition algorithms and metrics from research into production.</li><li>Analyze and develop metrics for deep learning models and experimental datasets</li><li>Design experiments, involving human participants, to assess model performance.</li></ul>Minimum Qualifications: <ul><li>Currently has or is in the process of obtaining a Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics, or related field.</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><li>Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.</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></ul>Preferred Qualifications: <ul><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP).</li><li>Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).</li><li>Experience bringing machine learning-based products from research to production.</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, Neural Interfaces (PhD)

Meta is seeking a Performance and Capacity Engineer to join the Capacity team to focus on planning and delivering capacity to Meta products and platforms. This person would be required to work cross-functionally with a number of teams to ensure optimal operation and growth of our computing resources from both a cost and technology perspective. Tens of billions of user requests, hundreds of peta bytes of data, thousands of giga bps of network flow. Help build one of the largest Internet services in the world! Performance and Capacity Engineer, Tooling Responsibilities: <ul><li>Work with Product Engineering, Infrastructure Engineering, and Data Engineering teams to find the optimal way to manage capacity and scale the infrastructure</li><li>Tackle the state-of-the-art hardware performance issues. Analyze and debug difficult server performance issues (latest in industry), identify bottlenecks and optimize product/service performance to improve user experience</li><li>Identify capacity-related issues proactively and work with systems, network, application operations and engineering teams to discover resolutions</li><li>Develop coolest tools to monitor billions of user requests: Create monitoring, reporting, data-mining tools to do performance and capacity-related tests and analysis</li><li>Develop tooling & automation and optimize for capacity accounting, resource management, and infrastructure operations</li><li>Tackle and analyze operational issues in the Meta's infrastructure</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>BS degree in Computer Science, Electrical Engineering, Operations Research or other technical field</li><li>10+ years of experience in performance or software engineering</li><li>10+ years of experience in coding & scripting languages such as C, C++, C #, Java, PHP, Python or Perl</li><li>Experience working with large scale systems</li><li>Experience working with cross-functional teams</li><li>Experience with software development practices such as source control, code reviews, unit testing, debugging and profiling</li></ul>Preferred Qualifications: <ul><li>MS or PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical field</li><li>Understanding of infrastructure capacity management tools and processes</li><li>Experience in infrastructure operations and technical infrastructure knowledge</li><li>Experience working on ambiguous problems and managing uncertainty</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.

Performance and Capacity Engineer, Tooling

Central Applied Science establishes state-of-the-art scientific advancements for Meta's products and systems. The team's expertise spans many domains including AI/ML, statistics, economics, network science and mathematical optimization. We own tooling and libraries, develop methodologies, design and prototype solutions, and partner across Meta to launch these solutions such that 3 billion people and 10 million advertisers can benefit.We seek Research Scientists to identify new opportunities and help build scientifically rigorous systems focused on enabling new capabilities and improved performance. This role focuses on Meta's large scale machine learning and analytics systems for Meta's products across Facebook, Instagram, WhatsApp, Messenger, and Reality Labs. Our team's applied research includes incorporating approaches such as differential privacy for large scale model training, designing effective attacks, and evaluating practical risks in various applications including recommendation systems and generative models. We also pursue advancements in federated learning and on-device processing, where client-side applications include recommender systems for advertising and organic content, generative AI experiences, models, text prediction, and scene understanding. Research Scientist, Central Applied Science, Privacy-Preserving ML (PhD) Responsibilities: <ul><li>Assess potential opportunities and execute world-class research associated with privacy-preserving techniques, federated learning, and on-device personalization.</li><li>Design and prototype new algorithms or mechanisms, optimization methods, and system architectures.</li><li>Derive theoretical formulations when necessary.</li><li>Implement new algorithms or mechanisms, deploy them into internal or open-sourced libraries and tooling platforms, and conduct empirical studies on internal datasets to showcase value for real world applications.</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>Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, Mathematics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets.</li><li>Proficiency with at least one of the following technologies: (i) Differential Privacy, (ii) Privacy Attacks and Auditing for ML model risks, (iii) Federated Learning, (iv) On-Device Model Personalization.</li><li>Proficiency in Python.</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>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, AISTATS, MobiCom, MobiSys, ICLR, etc.</li><li>Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).</li><li>Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.</li><li>Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow, etc.).</li><li>Proficiency in C or C++.</li><li>Experience working and communicating cross-functionally in a team environment.</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, Privacy-Preserving ML (PhD)

Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company. Research Engineer - FAIR Core Learning Responsibilities: <ul><li>Develop highly scalable algorithms based on machine learning and neural network methodologies.</li><li>Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning.</li><li>Apply knowledge of relevant research domains and coding skills to platform and framework development projects.</li><li>Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).</li></ul>Minimum Qualifications: <ul><li>Currently has or is in the process of obtaining a PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>One or more years experience in reinforcement learning and/or generative modeling.</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 developing machine learning algorithms or machine learning infrastructure in Python and PyTorch.</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>Industry research experience in reinforcement learning and/or generative modeling.</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>Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.</li><li>Software engineer experience demonstrated via an internship, work experience, coding competitions.</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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