Head of Simulation & ML Engineering (London)

Head of Simulation & ML Engineering (London)

Full-Time No working from home possible
Waymo

At a Glance

  • Tasks: Lead a team in developing advanced simulation and machine learning for autonomous driving.
  • Company: Waymo, a leader in autonomous technology, based in Greater London.
  • Benefits: Competitive salary, bonus eligibility, and extensive benefits package.
  • Other info: Hybrid role with opportunities for innovation and collaboration with Google DeepMind.
  • Why this job: Join a pioneering team and shape the future of autonomous driving technology.
  • Qualifications: PhD or Master's in a relevant field with proven engineering leadership experience.

Waymo, based in Greater London, seeks an experienced leader for their Simulator Team, focusing on cutting-edge generative models in autonomous driving. This hybrid role involves managing a diverse team of machine learning engineers and aligning objectives with Google DeepMind.

The ideal candidate has a PhD or Master's in a relevant field and a strong track record in engineering leadership. The position offers a competitive salary ranging from £230,000 to £242,000, along with eligibility for bonus programs and extensive benefits.

Head of Simulation & ML Engineering (London) employer: Waymo

Waymo is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from competitive salaries, comprehensive bonus programs, and extensive benefits, alongside ample opportunities for professional growth within a pioneering team focused on advancing autonomous driving technology. Join us to be part of a forward-thinking organisation that values your expertise and encourages meaningful contributions to the future of mobility.

Waymo

Contact Details:

Waymo Recruitment Team

We think you need these skills to ace Head of Simulation & ML Engineering (London)

Leadership
Machine Learning
Generative Models
Team Management
Collaboration with Google DeepMind
PhD or Master's in a relevant field
Engineering Leadership