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Software Engineer, Systems ML

Meta· Engineering
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Menlo Park, CA$122k - $181kFull-timePosted 2w ago

About the role

Software Engineer to join the Systems ML Engineering team, building and optimizing machine learning infrastructure at scale. Designs and develops high-performance ML systems across the full stack from training/inference pipelines to hardware-aware optimizations, collaborating with researchers, platform engineers, and product teams to accelerate ML workloads and improve AI infrastructure serving billions of users.

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
  • Produce accurate technical documentation when introducing new ML infrastructure features or updating existing systems
  • Participate in on-call rotations to investigate and mitigate production incidents affecting ML serving systems, and contribute detailed retrospectives
  • Provide constructive code review feedback to other engineers and contribute to engineering programs that improve the health and quality of the ML infrastructure codebase

Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 2+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
  • Experience developing or optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
  • Experience with distributed computing architectures and large-scale systems design for ML workloads
  • Experience programming in C++ and Python for performance-critical systems
  • Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems

Skills

Required:Bachelor-level degree or equivalent practical experienceSoftware engineering

Benefits

  • Bonus
  • Equity
  • Benefits (as listed in the posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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