Research Engineer, Large-Scale Research at Facebook
New York City, NY, US
In this role, you will be part of the Facebook AI Research (FAIR) Engineering team, focused on advancing state-of-the-art in artificial intelligence with scale. You will work on high-profile, large-scale research projects across major machine learning domains, from Computer Vision and Reinforcement Learning to Natural Language Processing and Automatic Speech Recognition. You will share results and challenges of your work at conferences and publications, you will open-source libraries and frameworks you create.

Research Engineer, Large-Scale Research Responsibilities
  • Optimize existing research toolkits and underlying platforms, build the next-generation universal research framework to accelerate research efforts across Facebook AI
  • Scale data-and model-parallelism on Facebook-scale data at Facebook-scale compute
  • Collaborate with FAIR researchers to facilitate large-scale research within and across various machine learning domains
Minimum Qualifications
  • B.S. degree in Computer Science or related quantitative field
  • 10+ year(s) experience in software engineering
  • Expertise in one or more of the following: high-performance computing, CUDA programming, large scale distributed systems, low-level optimization, designing and building machine learning frameworks and toolkits
  • Communication and collaboration skills
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
  • M.S. or Ph.D. degree in Computer Science or related quantitative field
  • Experience in machine learning research
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