Machine Learning Engineer, Driving Product

Wayve; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Wayve in Sunnyvale, London, or Israel seeks Senior and Staff ML Engineers for the Driving Product team, building critical driving behaviours from data to on-road validation. You will own end-to-end training and evaluation, ship models into cars on a fast timeline, and directly impact commercial deliveries.

The role combines cutting-edge ML with real-world constraints, including safety and production readiness, with a hybrid office/work-from-home policy.

Qualifications

• Proven experience training deep learning models with end-to-end ownership (data, training, eval, iteration).
• Experience taking ML models into production under real-world constraints and safety requirements.

Responsibilities

• Develop AI driver model architecture and training for L2/L3/L4.
• Own training lifecycle: evaluation strategy, success metrics, iteration planning.
• Mine and curate real-world and synthetic data to teach driving behaviours and support training.
• Run on-road and offline experiments, translate results into next steps.

Skills

End-to-end ML lifecycle

Production ML systems

Deep learning training

Reinforcement learning

Transformers

PyTorch Lightning

Embedded deployments

Automotive / OEM experience

Job description

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

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

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.