Staff Machine Learning Engineer

Waymo

London, United Kingdom
Base: £150,000—£162,000 gbp; bonus/equity: waymo’s...
On-site
Scalable systems for generative models
Novel rl algorithms and training paradigms
Deep learning and generative ai solutions
The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys

Job Summary

  • The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys.
  • Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.
  • Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.

Matching Summary

The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys.

Salary

Base: £150,000—£162,000 GBP; Bonus/Equity: Waymo’s discretionary annual bonus program, equity incentive plan; Benefits: generous Company benefits program

Skills & Requirements

Must-have

  • Scalable systems for generative models
  • Novel RL algorithms and training paradigms
  • Deep Learning and Generative AI solutions
  • Production and optimization of ML models
  • Python and ML frameworks (JAX, TensorFlow)

Nice-to-have

  • Autonomous vehicles domain experience
  • Robotics or complex simulation environments
  • State-of-the-art RL techniques
  • Technical leadership and influencing stakeholders
  • Excellent communication skills

Key Requirements

  • M.S. or Ph.D. degree or equivalent practical experience
  • 7+ years hands-on ML experience
  • Significant focus on Reinforcement Learning
  • Expertise in deep learning, sequence modeling, generative models
  • Large-scale distributed training experience
  • Lead complex technical projects

Work Rights

Not specified

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