Software Engineer, Systems ML

Job Summary

Focused on building and optimizing machine learning infrastructure, the full-time Software Engineer, Systems ML will design and develop high-performance ML systems, collaborating with cross-functional teams to enhance AI infrastructure for billions of users.

Key responsibilities

• Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks
• Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability and scalability
• Identify and resolve performance bottlenecks across the ML stack using profiling and benchmarking tools

Required qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience
• 6+ years of experience in software engineering with a focus on machine learning systems or high-performance computing
• Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch or TensorFlow
• Experience with distributed computing architectures and large-scale systems design for ML workloads
• Proficiency in programming in C++ and Python for performance-critical systems