Staff ML Engineer - AV Simulation & Foundation Models

Neura Market; Greater London; Hybrid; GBP 155,000 - 163,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentives

Company benefits program

Job summary

Waymo is planning a London-based team to advance ultra realistic autonomous vehicle simulations using foundation models. The role combines research engineering with productionizing innovations, reporting to an Engineering Manager in a hybrid work setting.

We seek researchers and software engineers with a track record in deep learning and end-to-end ML systems. The position includes leadership responsibilities and collaboration with Ox ford teams, with strong emphasis on experimentation and

Qualifications

• 7+ years of experience in applied deep learning.
• 7+ years of 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.

Responsibilities

• 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.
• 1+ years of people management experience

Skills

Applied deep learning

Data analysis

Production ML

Team leadership

Job description

Waymo is planning a London-based team to advance ultra realistic autonomous vehicle simulations using foundation models. The role combines research engineering with productionizing innovations, reporting to an Engineering Manager in a hybrid work setting.

We seek researchers and software engineers with a track record in deep learning and end-to-end ML systems. The position includes leadership responsibilities and collaboration with Ox ford teams, with strong emphasis on experimentation and