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Research Scientist, Systems ML and HPC
2 months ago
Research Scientist, Systems ML and HPC - SW/HW Co-Design Responsibilities:
- Apply High-Performance Computing (HPC) algorithms and techniques to optimize large-scale AI workloads
- Analyze, benchmark, and optimize large-scale workloads on next-generation training superclusters
- Apply relevant AI infrastructure and software/hardware acceleration techniques to build and optimize our intelligent ML systems that improve Meta's products and experiences
- Influence next-generation model and hardware architecture choices by projecting training performance and model efficiency
- Goal-setting related to project impact, AI system design, and infrastructure/developer efficiency
- Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
- Drive large projects across multiple teams
- Define use cases and develop methodology and benchmarks to evaluate different approaches
- Apply in depth knowledge of how ML infra interacts with the other systems around it
- Experience in systems software development such as collective Communications
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a Master's/PhD degree in Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience. Degree requirements must be completed prior to joining Meta
- 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
- Specialized experience in one or more of the following machine learning/deep learning domains: high-performance computing, performance optimizations, SW/HW co-design, hardware accelerators architecture, GPU architecture, machine learning compilers, ML systems, AI infrastructure, or machine learning frameworks (e.g. PyTorch), numerics, Collective Communication libraries (NCCL or RCCL), and model compression
- Experience developing AI system infrastructure or AI algorithms 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
- 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.
Preferred Qualifications:
- Experience or knowledge of training/inference of large-scale AI models
- Experience or knowledge of distributed and cloud systems
- Experience or knowledge in one or more of: recommendation and ranking models, LLM and/or LDM, or Collective Communication libraries (NCCL or RCCL)
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.