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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.

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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.

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.

Research Engineer - FAIR Core Learning

Every day we strive to provide the best possible experience to our users that are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity backbone network that spans the globe. We are looking for a Network Capacity Manager, Planning to join our Backbone team to support the expansion of our global network. This is an ideal role for a Capacity Manager who will be responsible for developing a network growth plan and be closely connected to the realization and deployment of the plan. Network Capacity Planner Responsibilities: <ul><li>Model and simulate network demands into a Capacity & Topology Plan for our Backbone (intra and inter DC/POP).</li><li>Work with large, complex data sets around the Facebook data infrastructure and solve difficult ad-hoc analysis problems.</li><li>Translate Layer 3 topology plan into engineering design packages by analyzing, distilling and publishing High Level Plans and Low Level Designs.</li><li>Develop, communicate, and coordinate network contingency plans and capacity augments.</li><li>Influence, asses, and support the development of new network hardware (IP and/or Optical) initiatives and evolving network topologies, identify areas of efficiency gain.</li><li>Lead incident response, postmortems, and production improvements that result in automated workflows and better detection/mitigation of network capacity constraints.</li><li>Develop framework for end-to-end availability and performance measurement of uptime of critical services and key network performance metrics.</li></ul>Minimum Qualifications: <ul><li>Minimum of 5 years of experience in Network Operations, Deployment and/or Network Planning for large web-scale or equivalent network.</li><li>Knowledge of network infrastructure, including equipment and design principles for resiliency planning.</li><li>Experience in statistical data analysis (e.g. R, Python) and data-base languages (SQL).</li><li>Experience analyzing large data sets related to network engineering (network demand, utilization, deployment timelines) to discern key inputs, retain, and use data that highly impacts decisions.</li><li>Effective communication, experience explaining complex problems to partner teams.</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Experience with use of network planning and inventory tools.</li><li>Experience with both terrestrial and submarine networks.</li><li>Preferred BS or MS in Engineering, Computer Science, or related 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.

Network Capacity Planner

Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. The ideal candidate will have industry experience working on Language related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & most pressing research challenges of our generation. We are hiring in multiple locations. Research Engineer, Language - Generative AI Responsibilities: <ul><li>Apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta's products and experiences</li><li>Assist in goal setting related to project impact, AI system design, and ML excellence</li><li>Drive large efforts across multiple teams</li><li>Mentor other AI Engineers & improve the quality of AI work in the broader team</li><li>Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches</li><li>Apply in-depth knowledge of how the machine learning system interacts with the other systems around it</li><li>Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and/or reinforcement learning.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI</li><li>Experience developing language algorithms or language infrastructure in C/C++ or Python</li><li>PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Experience in deep learning and PyTorch</li><li>Experience with distributed systems or on-device algorithm development</li><li>Experience contributing to AI Publications</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 Engineer, Language - Generative AI

The MTIA (Meta Training & Inference Accelerator) Software team has been developing AI frameworks to accelerate Meta's DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way. As part of the AI acceleration software stack, we develop kernel libraries exploiting various hardware architectural features, achieving high performance for our inference and training workloads.We are looking for a Software Engineering Manager to support a team of kernel engineers and drive high-performance DL kernel library development and performance tuning specific to the MTIA AI accelerator hardware. Software Engineering Manager, ML/AI Frameworks Responsibilities: <ul><li>Grow a team of domain experts in high performance DL kernel development.</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 deep learning kernel development on CPU, GPU or AI accelerators</li><li>2+ years of experience in managing a team of kernel engineers of varied skill levels.</li><li>Experience with cross functional collaboration with hardware or AI framework/compiler teams.</li><li>Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.</li></ul>Preferred Qualifications: <ul><li>Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc</li><li>Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.</li><li>Experience working closely with hardware architectures such as Intel SIMD, GPU, RISC-V, ML Accelerators etc.</li><li>Experience in hardware-software development environments such as simulators, FPGA emulators etc</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,  ML/AI Frameworks

Are you passionate about helping those around you be more effective? Do you think about technology as a way to increase efficiency and change how business operates? We are looking for candidates that share our passion for tackling complexity head-on, to help build software platforms that can scale through multiple orders of magnitude.Data Infrastructure team is responsible for the end to end life cycle of data at Meta - from logging, ingesting, processing to making it available to users across the company for AI, ML and Analytics use cases. As a Technical Program Manager, you will play a key role within Data Infrastructure team, driving large cross functional projects that span the organization. Our team is comprised of varying levels of experience and backgrounds, from new grads to industry experts. Relevant experience is important, but ultimately less so than your demonstrated abilities and attitude. Meta's infrastructure is constantly redefining what is possible, and we need program managers that can do the same. Technical Program Manager, Developer Infrastructure Responsibilities: <ul><li>Build strong and aligned program teams to efficiently deliver on shared goals.</li><li>Collaborate with Engineering and business owners to define program requirements, set priorities, and establish scope which includes defining the roadmap and long-term strategy of the teams that you are partnering with.</li><li>Manage cross functional dependencies, risks, and changes effectively by optimizing scope, schedule, and resources accordingly.</li><li>Develop and own communication plans to effectively and proactively communicate program status, issues, and risks to stakeholders.</li><li>Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases.</li><li>Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables.</li><li>Proactively identify and analyze complex, long-term, critical infrastructure problems with engineering leaders and stakeholders.</li><li>Influence product decisions to align with higher company initiatives.</li><li>Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation.</li></ul>Minimum Qualifications: <ul><li>B.S. in Computer Science or a related technical discipline, or equivalent experience.</li><li>7+ years of software engineering, systems engineering, or technical product/program management experience.</li><li>Experience delivering tech programs or products from inception to delivery.</li><li>Knowledge of user needs, gathering requirements, and defining scope.</li><li>Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership.</li><li>Communication experience and experience working with technical management teams to develop systems, solutions, and products.</li><li>Organizational, coordination and multi-tasking experience.</li><li>Analytical and problem-solving experience with large-scale systems.</li><li>Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.</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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