Hybrid ML Engineer - AV Simulation & Foundation Models

Waymo LLC; Greater London; Hybrid; GBP 155.000 - 163.000; Vollzeit

Zusammenfassung

Waymo LLC in London is building a team to advance ultra realistic autonomous vehicle simulations using foundation models. You will design experiments, train large models, and integrate them into the simulator, collaborating with Waymo Oxford teams to improve realism and evaluate performance.

The role requires 5+ years in applied deep learning and production ML, with strong coding, data analysis skills, and a track record of taking research to production.

Qualifikationen

• 5+ years experience in applied Deep Learning.
• 5+ years coding and design skills.
• Experience solving complex production problems using state-of-the-art ML techniques.
• Experience taking research to production.
• Expertise in Data Analysis or Data Science.

Aufgaben

• Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models.
• Collaborate with teams in Waymo Oxford to use large models to improve sim realism.
• Design experiments that push the frontiers of AV simulations.
• Develop metrics that measure the realism of simulated worlds.
• Train and evaluate large models and integrate them into the simulator and its downstream applications.
• Help hire outstanding research engineers from diverse backgrounds.
• Be a part of a collaborative research engineering team that takes research ideas and productionizes them.

Kenntnisse

Applied deep learning

Coding & design

Production ML

Data analysis

Experiment design

Jobbeschreibung

Waymo LLC in London is building a team to advance ultra realistic autonomous vehicle simulations using foundation models. You will design experiments, train large models, and integrate them into the simulator, collaborating with Waymo Oxford teams to improve realism and evaluate performance.

The role requires 5+ years in applied deep learning and production ML, with strong coding, data analysis skills, and a track record of taking research to production.