Research Scientist, Systems ML - SW/HW Co-Design - Inference

$117,000 - $173,000/Yr

Meta - Menlo Park, CA

Full-time - Entry Level

Menlo Park, CA

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About the position

Meta is seeking a Research Scientist to join its Research & Development teams, focusing on AI Infrastructure and optimization of Generative AI and Recommendation models. The role involves applying advanced AI infrastructure and hardware acceleration techniques to enhance Meta's products and user experiences through the development of high-performance kernels and optimization strategies.

Responsibilities

• Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize intelligent ML systems.
• Develop high performance kernels and different parallelism techniques to improve end-to-end performance.
• Set goals related to project impact, AI system design, and infrastructure/developer efficiency.
• Directly or influence partners to deliver impact through thorough data-driven analysis.
• Drive large efforts across multiple teams.
• Define use cases, and develop methodology & benchmarks to evaluate different approaches.
• Apply in-depth knowledge of how the ML infrastructure interacts with other systems.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Computer Vision, Generative AI, NLP, or a relevant technical field.
• Specialized experience in machine learning/deep learning domains such as model compression, hardware accelerators architecture, GPU architecture, or ML systems.
• 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.

Nice-to-haves

• Experience or knowledge of training/inference of large scale AI models.
• Experience or knowledge of distributed systems or on-device algorithm development.
• Experience or knowledge of recommendation and ranking models.

Benefits

• Competitive salary ranging from $117,000 to $173,000 per year.
• Bonus and equity opportunities.
• Comprehensive benefits package including health insurance, retirement plans, and paid time off.