ML Engineer, Foundation Model Infrastructure

Related skills

python tensorflow pytorch spark jax
JobCopilot logo
Meet JobCopilot: Your Personal Al Job Hunter
Automatically Apply to Your Dream Jobs While You Sleep
Try it now โ†’

๐Ÿ“‹ Description

  • Build and operate petabyte-scale data systems and ML pipelines.
  • shepherd foundation models from research to robust components in Waymo Driver.
  • Create automated infrastructure for benchmarking, monitoring, and releasing models.
  • Work with large-scale compute and frameworks like Flume and JAX.
  • Improve speed, reliability, and efficiency of the end-to-end ML lifecycle.
  • Collaborate with AI Foundations, ML, and Platform teams to translate model innovations into on-road

๐ŸŽฏ Requirements

  • Masters degree in CS, ML, Robotics or equivalent experience.
  • Proficiency in Python.
  • Proficiency in C++.
  • Familiarity with modern DL frameworks (PyTorch, JAX, TensorFlow).
  • Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume

๐ŸŽ Benefits

  • Discretionary annual bonus program and equity incentive plan.
  • Generous company benefits.
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest โ€” finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs โ†’