Research Scientist, Systems ML - SW/HW Co-design (PhD)
Location pin icon
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon.
Meta is seeking a Research Scientist to join our Research & Development teams. The ideal candidate will have experience working on AI Infrastructure and models related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist in Reality Labs. The primary objective will be to develop creative solutions that enable compute and power efficient training and on-device inference of vision and language models for use cases in AR, VR and edge devices. We are hiring in multiple locations.
Research Scientist, Systems ML - SW/HW Co-design (PhD) Responsibilities
- Apply relevant AI infrastructure, AI algorithms and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
- Develop state-of-the art model compression and scalability techniques using Numerics, pruning, distillation etc.
- Optimize models on hardware to achieve the best performance given various real time latency and power constraints
- Goal setting related to project impact, AI algorithms, AI system design, and infrastructure/developer efficiency
- Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
- Define use cases, and develop methodology & benchmarks to evaluate different approaches
- Apply in-depth knowledge of how the ML infra interacts with the other systems around it
Minimum Qualifications
- 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.
- Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Electrical Engineering or equivalent practical experience. Degree must be completed prior to joining Meta.
- Specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
- Experience developing AI-System infrastructure , AI algorithms or AI hardware acceleration in C/C++ or Python.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- Experience or knowledge of training/inference of Large scale AI models.
- Experience or knowledge of distributed systems or on-device algorithm development.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC etc.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience working and communicating cross functionally in a team environment.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
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.
$error/year to $error/year + bonus + equity + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Related Job Openings
Careers
Follow us
