Senior ML Engineer – Driver Evaluation & AV Simulation

Waymo LLC

Greater London

Hybrid

GBP 155.000 - 163.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Discretionary annual bonus
Equity incentive plan
Company benefits

Zusammenfassung

Waymo LLC in London, UK is seeking researchers and software engineers to advance the Waymo Driver through foundation models and improved evaluation tools. You will work in a hybrid role reporting to an Engineering Manager, collaborating with Oxford teams to deliver production-ready machine learning for autonomous driving.

The role emphasizes research-to-production experience, scalable ML systems, and a strong drive to enhance simulator realism and performance.

Qualifikationen

  • 7+ years experience in applied Deep Learning.
  • 7+ years coding and design skills.
  • Experience solving complex production problems using state-of-the-art ML techniques.
  • 1+ years of people management experience.

Aufgaben

  • Join a world-class research engineering team to advance ultra-realistic AV simulations using foundation models.
  • Collaborate with Waymo Oxford teams to deploy large models that improve simulator realism.
  • Design experiments to push the boundaries of AV simulations and evaluate outcomes.
  • Develop metrics to measure the realism of simulated worlds and guide improvements.
  • Train and evaluate large models and integrate them into the simulator and downstream apps.
  • Support hiring of outstanding research engineers from diverse backgrounds.

Kenntnisse

Deep Learning
Production ML
Research to Production
People Management

Jobbeschreibung

Waymo LLC in London, UK is seeking researchers and software engineers to advance the Waymo Driver through foundation models and improved evaluation tools. You will work in a hybrid role reporting to an Engineering Manager, collaborating with Oxford teams to deliver production-ready machine learning for autonomous driving.

The role emphasizes research-to-production experience, scalable ML systems, and a strong drive to enhance simulator realism and performance.

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