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Wayve

Machine Learning Engineer, Driving Product

Wayve Greater London, England, United Kingdom

Software Development · 1,001-5,000 employees

Sep 07
machine-learning Senior (5-10 yrs) Full-time United Kingdom
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About the role

Develop AI driver model architectures and training algorithms to enhance driving behaviors for L2 to L4 autonomous systems. Manage the full model lifecycle, including data curation, evaluation strategy, and on-road validation to drive commercial outcomes.

What they look for

Deep learning Machine learning Model architecture Training algorithms Data curation Evaluation strategy Reinforcement learning Transformer networks Pytorch lightning Model compression Embedded systems On-road validation Synthetic data Experimentation

Requirements

Requires proven experience in training deep learning models with end-to-end ownership and successful deployment into production environments. Desirable qualifications include expertise in reinforcement learning, transformer networks, and experience working with physical systems or embedded deployments.

Full description

We are hiring Senior and Staff ML Engineers that sit within Driving Product organisation, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.

Key responsibilities

  • Develop the AI driver model architecture and training algorithms to introduce and enhance the driving behaviors for L2/L3/L4
  • Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
  • Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
  • Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

**About you

**

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.

**Essential

**

  • Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
  • Experience taking ML models into production, including working through real-world constraints and quality and safety requirements

Desirable

  • Reinforcement learning experience (especially where it materially improved real-world performance).
  • Experience with end-to-end driving models and / or transformer networks
  • Automotive or OEM experience, or prior work that involved deploying ML into physical systems.
  • Experience with a Pytorch lightning training infrastructure
  • Experience with model compression and deployments to embedded systems

This is a full-time role based in our office in Sunnyvale, London or Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home

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