Research Engineer, Multi-Modal

1 month ago


Menlo Park, California, United States Facebook Full time
Meta is seeking Research Engineer to join its Fundamental AI Research (FAIR) organization, an organization focused on making significant advances in AI. We are seeking talented research engineer with experience in LLMs and vision-language models to join the team. They will investigate how to build contextually aware agents that will be the foundation for a new paradigm in how we interact with computers. The chosen candidate will work with a diverse interdisciplinary team of scientists, engineers, and cross-functional partners. They will have access cutting-edge technology, resources, and research facilities.

Research Engineer, Multi-Modal - FAIR Responsibilities:

  • Apply relevant AI and machine learning techniques to build intelligent rich code generation products
  • Develop novel, accurate AI algorithms and advanced systems for digital and AR agents
  • Define use cases and develop methodology and benchmarks to evaluate different approaches
  • Define, build and benchmark new capabilities in AI Agents
Minimum Qualifications:

  • MS or Ph.D. degree in Computer Science or related quantitative field
  • Industry experience in machine learning research and deployment
  • Experience in Programming: Python, PyTorch
  • Experience in ML systems: AI infrastructure, machine learning accelerators, high performance computing, GPU architecture, machine learning frameworks, model-parallel Transformer-based models, reinforcement learning
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
  • 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 with distributed systems or on-device algorithm development
  • Experience with leading research projects until publication
  • High performance code and profiling experience
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-

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