Machine Learning Engineer

Seeking a strong Python/ML Systems Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Responsibilities include developing and maintaining deep learning libraries that support large-scale distributed training, open sourcing high quality code, creating documentation, supporting the community to onboard and effectively leverage the solutions built by the team, and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities. ResponsibilitiesEngineer, design, implement, and improve machine learning systems and tools for enabling research • Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects • Write clean and robust machine learning code • Create documentation and support users in ramping and getting productive with the libraries and tools built by the team. Minimum Qualifications Degree in Computer Science, Computer Engineering or relevant technical field • 2+ years Experience developing machine learning systems in Python or C/C++ • Experience with machine learning frameworks such as PyTorch or Tensorflow • Experience working with large datasets and data pipelines • Solid understanding of algorithms, data structures, and software engineering best practices. • Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment. • Excellent problem-solving and communication skills. Preferred Qualifications Demonstrated software engineering experience via work experience or widely used contributions in open source repositories (e.g. GitHub) • Prior contributions to open-source AI/ML projects