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About the Role

As an ML Engineer, you’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You’ll work closely with the AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable and ready for production.

Responsibilities

Developing and improving end-to-end driving models with state-of-the-art performance, robustness and generalisation.
Driving projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning and user alignment.
Building evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development.
Influencing architecture choices, training methodologies and deployment pathways for production-scale learning systems.
Collaborating across teams to keep integration smooth and iteration fast.
Mentoring engineers and helping shape the long-term technical direction across Autonomy.

Requirements

Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning (esp. sequential models, control, planning, or perception).
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Prior work in autonomous driving, imitation learning, or trajectory prediction.
Familiarity with personalization, human behavior modeling, or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.

Skills

Python
C++
CUDA
PyTorch
Deep learning
Sequential models
Control
Planning
Perception
Real-time systems
Robotics
Simulation
Vehicle-in-the-loop
Autonomous driving
Imitation learning
Trajectory prediction
Personalization
Human behavior modeling
Driver intent inference
ML systems integration
Multi-agent simulation

Location

London
Sunnyvale
Yokohama
Herzliya
Vancouver
Leonberg

Work Type

Hybrid working

Experience Level

Extensive and proven track record
Expert
Proficient
Experience with
Ability to lead
Prior work in
Familiarity with
Experience integrating

Salary/Compensations

Salaries benchmarked against the market annually

Benefits

Meaningful equity, sharing in the ownership and long term success of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
Learning and development budgets with support for training, conferences and growth
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

About the Company

Wayve is building the leading AI platform for autonomous driving.
We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.
Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it.
The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency.
We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal.
Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales.
In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere.
By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

Equal Opportunity

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.