Meta is looking for Research Engineers to join their Fundamental AI Research (FAIR) team, focusing on advancing artificial intelligence technologies. Candidates will engage in cutting-edge research to develop scalable and efficient machine learning systems, collaborating with cross-functional teams and contributing to impactful research publications.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD degree in Computer Science, Computer Engineering, a relevant technical field, & 2+ years of equivalent domain-specific industry experience
• Development experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence
• Experience with Python, C++, C, Rust or other related languages and with PyTorch framework
• Experience developing and optimizing systems for at-scale machine learning execution
• Experience devising data-driven models and real-system experiments and design implementation for AI system optimization
• Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
• Experience working and communicating cross functionally in a team environment

• Carry out cutting-edge research to advance the science and technology of machine learning systems
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
• Contribute research that leads to innovations in scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs
• Devise better data-driven models of AI system design and optimization
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• Publish research results and contribute to research that impacts Meta product development

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.