Research Engineer, Fundamental AI Research - CoreML and Optimization

Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer to advance artificial intelligence through cutting-edge research and engineering. This role focuses on developing new algorithms and software to accelerate progress in machine intelligence, with emphasis on improving both training and inference efficiency of deep learning models.

The position involves working on optimization algorithms design, implementation, and deployment on large-scale distributed infrastructure. You'll be responsible for conducting research in machine learning, developing efficient training methods for AI models, and contributing to innovations in optimization algorithms, distributed computing, and novel AI architectures.

Key aspects of the role include:

• Conducting cutting-edge research in machine learning and AI
• Working with various data modalities (images, video, text, audio)
• Implementing and optimizing AI algorithms and models
• Collaborating with research scientists and cross-functional teams
• Publishing research results and contributing to Meta's product development
• Open-sourcing high-quality code and producing reproducible research

The ideal candidate will have strong expertise in Python, C/C++, and PyTorch, with experience in training large-scale AI models and working with architectures like convolutional nets and Transformers. This is an opportunity to make fundamental contributions to AI research while working with state-of-the-art technology and infrastructure at Meta.

The position offers competitive compensation ($56.25/hour to $173,000/year + bonus + equity) and comprehensive benefits. Join Meta's FAIR team to help shape the future of AI technology while working alongside world-class researchers and engineers.