Staff Machine Learning Engineer, Robotics

• Design and train models that are robust to differences between vehicles, using approaches such as conditioning or augmentation for vehicle kinematics and camera parameters.

• Create benchmarks and metrics for cross-platform performance, translating results into clear decisions for model and platform teams.

• Help root-cause on-road issues such as late turns, lane-keeping, and steering problems. Work with controls, calibration, and OEM engineers to separate model problems from system problems and identify the highest-impact model improvements.

• Move research into production in collaboration with Driving Core and application engineering teams.

• Support customer programmes, with some travel.

• Mentor teammates and help raise the bar for ML engineering across the team.

• Pre- and post-training methods that improve zero-shot transfer across vehicle platforms.

• Robustness to changes in camera configuration, calibration, vehicle dynamics, actuation limits, and rig geometry.

• The Generalization Benchmark and metrics that measure how models transfer between platforms.

• Real-world, multi-sensor driving data and the interaction between sensors, data, models, and actuation.

• Production deployment of Wayve's autonomy stack with major OEM partners.

• You have several years of experience building and shipping ML systems in PyTorch and Python, including training at scale, debugging experiments, and rigorous evaluation.

• You have a strong robotics or automotive background in areas such as state estimation, sensor fusion, calibration, vehicle dynamics, or controls.

• You bring a systems perspective and can trace a problem through sensors, data, models, and actuation.

• You have experience working with real-world, multi-sensor driving or robot data.

• You communicate clearly across teams and are comfortable owning ambiguous problems from start to finish.

• Experience with end-to-end or learned driving and planning policies, imitation learning, or reinforcement learning.

• Experience with platform bring-up or deployment across multiple vehicles.

• C++ skills and experience with on-vehicle or embedded deployment.

🌱

• Initial call / recruiter screen - 25 minutes

• Hiring-manager discussion - 45 minutes

• Deep-dive technical interviews - approximately 4 hours total

• Final interview focused on mission and values alignment - 1 hour

We'll always explain the format and work around your availability.

What's in it for you (location dependent)

• 💰 Salaries benchmarked against the market annually

• 📈 Meaningful equity

• ✈️ Relocation support and visa sponsorship where applicable

• ✅ Hybrid working and access to vehicle workshops and labs

• 📚 Learning and development support

• 🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits

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.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.