Responsibilities
- Conduct fundamental research into advanced low-precision and mixed-precision numerical formats (e.g., 8-bit, 4-bit integers, custom floating-point formats) for AI models
- Develop novel quantization algorithms, calibration techniques, and hardware-aware numerical strategies optimized for both training stability and inference efficiency
- Design and implement proof-of-concept solutions in popular AI frameworks (e.g., PyTorch) to validate research hypotheses and measure performance impact on state-of-the-art models
- Collaborate closely with hardware architects, compiler engineers, and AI model researchers to co-optimize numerical formats and algorithms for next-generation AI accelerators
- Publish research results in recognized conferences (e.g., NeurIPS, ICML, ICLR, ASPLOS, ISCA, HPCA, MLSys, MICRO)
Basic 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 degree in Computer Science, Electrical Engineering, Applied Mathematics, or relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Research experience in one or more of the following areas: low-precision numerics, quantization, computer arithmetic, mixed-precision training/inference, or numerical optimization for AI
- Theoretical background and practical experience with AI models (e.g., CNNs, Transformers, LLMs, DIffusion Models)
- In-depth experience of Python and experience with at least one major AI framework
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred qualifications
- Experience designing and evaluating custom numerical formats for AI models
- Familiarity with low-level programming for specialized hardware (e.g., CUDA, HIP, Triton) or hardware description languages (HDL)
- Experience in system-level performance analysis, profiling, and benchmarking of AI workloads
- Experience working and communicating cross-functionally in a team environment
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
- Authoring and communication skills, with a track record of publishing high-quality research
About the company
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@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
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.