Software Engineer, Systems ML
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- Software Engineer, Systems MLMenlo Park, CA Engineering+ 2 moreApply nowMeta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.---## Software Engineer, Systems ML Responsibilities* Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks and hardware-accelerated pipelines* Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability, scalability, and low-latency execution* Identify and resolve performance bottlenecks across the ML stack using profiling, instrumentation, and benchmarking tools* Architect and evaluate trade-offs in ML system design, including memory bandwidth, compute utilization, and I/O throughput* Partner with research and product teams to translate ML model requirements into efficient infrastructure solutions* Write automated tests covering expected behaviors, failure modes, and error paths for ML infrastructure components, and build monitoring and alerting for production anomalies* Contribute to staged rollout strategies using feature flagging and experimentation frameworks to safely deploy ML system changes
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Vacancy posted 1 day ago
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