FAQs
What is the primary focus of the Machine Learning Engineer, Simulation role at Waymo?
The primary focus is to grow the state-of-the-art of ultra-realistic autonomous vehicle simulations using foundation models, collaborating with teams to improve simulation realism through the development and integration of large models and metrics.
What qualifications do I need to apply for this position?
We prefer candidates with 2+ years of experience in applied Deep Learning, coding and design skills, experience solving production problems using state-of-the-art ML techniques, and experience with Machine Learning research.
Where will I be working if I get this job?
You will be part of the London team, collaborating with teams in Mountain View, California and Oxford, UK.
What are my responsibilities as a Machine Learning Engineer in this role?
Your responsibilities will include designing experiments for AV simulations, developing metrics for simulation realism, training and integrating large models into the simulator, and collaborating within a research engineering team to productionize research ideas.
Is there an opportunity to work collaboratively with other teams?
Yes, the role involves collaboration with teams in London, Oxford, and Mountain View to enhance simulation realism.
What type of work environment can I expect at Waymo?
You can expect a hybrid work environment that combines remote work with in-office collaboration, fostering a team-oriented and innovative atmosphere.
What benefits does Waymo offer employees?
Waymo offers a generous benefits program, including eligibility for an annual bonus, equity incentive plan, and various company benefits, although specific eligibility requirements may apply.
What is the salary range for this position?
The expected base salary range for this full-time position is £93,000—£100,000 GBP, with actual starting pay being influenced by job-related factors, including experience and location.