ML Engineer

Job Summary

A company is looking for an ML Engineer, Foundation Model Infrastructure.

Key Responsibilities

• Build and operate petabyte-scale data systems and ML pipelines for foundation model development
• Shepherd foundation models from research prototypes to robust components within the driving system
• Create automated infrastructure for benchmarking, monitoring, and safely releasing models

Required Qualifications

• Master's degree in Computer Science, Machine Learning, Robotics, or a similar technical field, or equivalent practical experience
• Proficiency in Python and C++
• Familiarity with modern deep learning frameworks (e.g., Pytorch, JAX, Tensorflow)
• Experience building or maintaining large-scale data pipelines or ML infrastructure
• Strong hands-on software engineering skills for developing complex shared codebases