Research Engineer – FAIR

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on a range of problems. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. We are hiring in multiple locations.

Research Engineer – FAIR Responsibilities:

• Optimize, profile, and improve large language models for research and for deployment
• Apply relevant AI and machine learning techniques to build intelligent rich code generation products Implement compilers and programming language tools
• Develop novel, accurate AI algorithms and advanced systems for large scale applications
• Define use cases and develop methodology and benchmarks to evaluate different approaches
• Push the boundaries of the capabilities of code generation models beyond the current state of the art

Minimum Qualifications:

• BS, MS or Ph.D. degree in Computer Science or related quantitative field
• Experience publishing papers in machine learning, computer vision, NLP, or signal processing
• Industry experience in machine learning research and deployment
• Programming: Python, PyTorch
• ML theory: reinforcement learning, optimization, supervised and unsupervised learning, regularization
• ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization, model-parallel
• ConvNets and Transformer-based models

Preferred Qualifications:

• Experience with distributed systems or on-device algorithm development
• Knowledge of compilers implementation and programming languages implementation
• Experience with Python and PyTorch or Jax
• Experience with leading research projects until publication
• Industry experience with C++, CUDA High performance code and profiling experience
• Working with distributed multi-disciplinary teams

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