Research Engineer, SysML - FAIR

Skip to main content Research Engineer, SysML - FAIR Meta Menlo Park, CA Apply Join or sign in to find your next job Join to apply for the Research Engineer, SysML - FAIR role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Research Engineer, SysML - FAIR Meta Menlo Park, CA 5 days ago Be among the first 25 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Research Engineer, SysML - FAIR role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $154,003.00/yr - $217,000.00/yr Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention, training performance acceleration through hardware-software co-design.Research Engineer, SysML - FAIR Responsibilities:Carry out cutting-edge research to advance the science and technology of machine learning systemsPerform research that enables learning the semantics of data (images, video, text, audio, and other modalities)Devise better data-driven models of AI system design and optimizationContribute 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...