Meta is seeking Research Engineers, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Research engineers in FAIR drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. The chosen candidate(s) 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.
Code Generation Research Engineer - FAIR Responsibilities:
- Write clean and robust machine learning code
- Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research
- Collaborate on research projects within a distributed team to advance the science and technology of intelligent machines.
- Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
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- Master's degree in Computer Science, Computer Engineering or relevant technical field
- Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++
- Experience using PyTorch or similar deep learning libraries.
- Experience in open-source development
- Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Co-authored high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, EMNLP, ICLR, CVPR, ICCV, ACL, Interspeech and ICASSP)
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.