W
source · wttj·req · jb_3856a6a1c5·listed 2d ago
Machine Learning Engineer
Waymo·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjSalary disclosed
compensation · disclosed
£120,000 — £130,000
source · wttj
Summary
the pitchJoin Waymo, the leading autonomous driving technology company. As a Machine Learning Engineer, you will build and operate scalable machine learning systems, develop cutting-edge deep learning models, and collaborate with multiple teams to deliver key strategic efforts. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, competitive compensation, and a hybrid work model.
Role
posted by company- We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack
- M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
- Experience with large-scale distributed training and data processing
- Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow)
- 5+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning
- Demonstrated expertise in deep learning, sequence modeling, and generative models
- Proven ability to lead complex and ambiguous technical projects from conception to completion
- Strong publication record or history of impactful project delivery in RL or related areas
- 7+ years of relevant experience in ML/RL research and application
- Experience in the autonomous vehicles domain, robotics, or complex simulation environments
- Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences)
- Familiarity with large-scale simulation platforms and their integration with ML training workflows
- Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries
- Experience designing and using metrics for evaluating complex AI systems
- Excellent communication skills, with the ability to articulate complex technical concepts clearly