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Research Scientist, Systems ML - SW/HW Co-design (University Grad)

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Meta

Feb 12

  • Job
    Full-time
    Entry Level
  • Software Engineering
  • $117K - $173K
  • Bellevue

AI generated summary

  • The candidate must have a Bachelor's degree in a relevant technical field, or equivalent experience, and must be completing or have completed a PhD degree. They should have specialized experience in machine learning domains, AI infrastructure, and SW/HW co-design. Proficiency in C/C++ or Python and knowledge of training large-scale AI models and recommendation models is preferred. Work authorization is required.
  • The Research Scientist will leverage AI infrastructure and hardware techniques to optimize ML systems, develop model compression techniques, set goals, analyze data, lead cross-functional efforts, evaluate approaches, and ensure seamless integration with other systems.

Requirements

  • 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

Responsibilities

  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
  • Develop state of the art model compression and scalability techniques using Numerics, pruning, distillation etc.
  • 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

FAQs

What qualifications are required for the Research Scientist position at Meta?

The ideal candidate will have industry experience working on AI Infrastructure related topics.

What kind of problems will the Research Scientist work on at Meta?

The position will involve applying AI Infrastructure skills to solve some of the most crucial and exciting problems that exist on the web.

In which locations is Meta hiring for the Research Scientist position?

Meta is hiring in multiple locations for this role.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.