Meta · 5 hours ago
Research Scientist, HW/SW Co-Design (PhD)
Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking a Research Scientist to focus on cutting-edge research and development in low-precision numerical formats and algorithms for accelerating AI inference and training at scale.
Computer Software
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)
Qualification
Required
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
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
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Funding
Current Stage
Late StageRecent News
Crunchbase News
2025-11-17
2025-11-16
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