1 day ago
Menlo Park, CA, USAMid Level
H1B sponsor
Base Salary
$122k - $181k/yr
Responsibilities
- Design, build, and optimize large-scale ML training and inference systems, distributed computing frameworks, and hardware-accelerated pipelines.
- Develop and maintain scalable, reliable, low-latency ML infrastructure components using C++ and Python.
- Identify and resolve performance bottlenecks through profiling, instrumentation, benchmarking, and systems analysis.
- Architect ML system designs while evaluating memory bandwidth, compute utilization, and I/O trade-offs.
- Translate ML model requirements into efficient infrastructure solutions with research and product teams.
- Write automated tests, build monitoring and alerting, and support staged rollouts and experimentation.
- Participate in on-call rotations, mitigate production incidents affecting ML serving systems, and contribute retrospectives.
- Provide code reviews, technical documentation, and contributions to programs improving ML infrastructure quality.
Requirements
- Currently holds or is pursuing a bachelor's degree in computer science, computer engineering, or a relevant technical field, or has equivalent practical experience; the degree must be completed before joining Meta.
- At least 2 years of software engineering experience focused on machine learning systems, AI infrastructure, or high-performance computing.
- Experience developing or optimizing ML training or inference pipelines with PyTorch, TensorFlow, or an equivalent framework.
- Experience with distributed computing architectures and large-scale ML systems design.
- Experience programming in C++ and Python for performance-critical systems.
- Experience using profiling and performance analysis tools to identify and resolve bottlenecks.
- Preferred experience includes ML compiler technologies, GPU programming, hardware-software co-design, responsible AI practices, AI skill development, and optimization of ranking or recommendation inference on GPUs or TPUs.
Benefits
- The role includes bonus, equity, and benefits in addition to base salary.
- The position includes participation in on-call rotations for production ML serving systems.
Categories
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.