Software Engineer, Systems ML

Skip to main content Software Engineer, Systems ML Meta New York, NY Apply Join or sign in to find your next job Join to apply for the Software Engineer, Systems ML 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. Software Engineer, Systems ML Meta New York, NY 18 hours ago 65 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Software Engineer, Systems ML 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 an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.Software Engineer, Systems ML Responsibilities:Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiencesGoal setting related to project impact, AI system design, and infrastructure/developer efficiencyDirectly or influencing partners to deliver impact through deep, thorough data-driven analysisDrive large efforts across multiple teamsDefine use cases, and develop methodology & benchmarks to evaluate different approachesApply in depth knowledge of how the ML infra interacts with the other systems around itMentor other engineers / research scientists & improve the quality of engineering work in the broader teamMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceSpecialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-designExperience developing AI-System infrastructure or AI algorithms in C/C++ or...