Senior Machine Learning Engineer, Perception
On-siteLondon, England, United Kingdom
London, England, United KingdomOn-siteFull TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Job Summary
Guide the architecture, implementation, and deployment of foundation models acting as learned world models for perception tasks, downstream decision-making, and closed-loop autonomy. Develop technical strategy for multi-modal, transformer-based systems and build training pipelines at scale across petabytes of real-world and simulated driving data. Collaborate with cross-functional teams to drive alignment between model capabilities and deployment constraints regarding latency, robustness, and validation. Publish internal technical guidance and mentor engineers across the autonomy ML team.
Required Qualifications
- B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
- 7+ years of experience building and deploying large-scale ML systems
- Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation
- Strong software engineering background, with fluency in Python and C++
- Experience training and evaluating transformer models or end-to-end autonomous agents
- Familiarity with real-time inference systems and autonomous vehicle constraints
- Proven leadership in driving ML projects from research to production
Desired Qualifications
- Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models)
- Experience with sensor fusion (LiDAR, camera, radar) in a learned model
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