Research Scientist, Systems ML - SW/HW Co-Design - Inference
META - Sunnyvale, California, United States, 94087
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Overview
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Overview
Research Scientist, Systems ML - SW/HW Co-Design - Inference Responsibilities
Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences Develop high performance kernels and different parallelism techniques to improve E2E performance. 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 efforts across multiple teams 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 degree in Computer Science, Computer Vision, Generative AI, NLP, 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: Model compression, 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 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. Preferred Qualifications
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
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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.
$117,000/year to $173,000/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.
Equal Employment Opportunity
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