Назад
11 дней назад

Senior Machine Learning Engineer (Simulation)

123 000 - 129 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (Simulation): Building and optimizing ultra-realistic autonomous vehicle simulations using foundation models with an accent on model training, evaluation, and integration into production systems. Focus on designing experiments, developing realism metrics, and bridging the gap between research and production-grade simulation environments.

Location: Must be based in London, UK (Hybrid role)

Salary: £123,000–£129,000 GBP

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

  • Develop state-of-the-art ultra-realistic AV simulations using large foundation models.
  • Collaborate with global teams to improve simulation realism and steerability.
  • Design experiments to push the frontiers of autonomous vehicle simulation.
  • Develop and implement metrics to measure the realism of simulated environments.
  • Train, evaluate, and integrate large models into simulator products.
  • Help scale the team by hiring outstanding research engineers.

Requirements

  • Must be based in London, UK for this hybrid role.
  • 5+ years of experience in applied Deep Learning.
  • 5+ years of professional coding and system design experience.
  • Proven track record of solving complex production problems using state-of-the-art ML.
  • Experience in taking research projects to production environments.
  • Expertise in Data Analysis or Data Science.

Culture & Benefits

  • Participation in discretionary annual bonus program.
  • Equity incentive plan eligibility.
  • Comprehensive company benefits program.
  • Opportunity to work on world-class autonomous driving technology.
  • Collaborative research environment with global teams in the US and UK.

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