Senior Machine Learning Engineer
ambiencehealthcare
Staff ML Engineer, Gaia
wayve· Simulation, Evaluation, Validation
About this role
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
Gaia is Wayve’s video world model: trained on large-scale driving video, it predicts future frames from past context—functioning as a simulator that helps generate synthetic scenarios, including rare or safety-critical events. As a Staff ML Engineer on Gaia, you’ll own and drive work on training and improving frontier-scale models trained in-house. This is a high-impact role with the opportunity to tech-lead a key area and help shape the next version of Gaia in a fast-paced, results-focused environment.
Key responsibilities:
- Lead and execute large-scale training runs for video (or adjacent) foundation models, from experimental design through production-grade execution
- Contribute to model architecture and training strategy, using first-principles understanding rather than “off-the-shelf” application
- Improve world-model capabilities that enable synthetic scenario generation and downstream evaluation/training of the driving model
- Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact
- Provide technical leadership through mentorship, review, and setting high engineering/research standards (Senior/Staff scope)
About you
In order to set you up for success as a Staff ML Engineer (Gaia) at Wayve, we’re looking for the following skills and experience.
Essential
- In-depth experience training large-scale models (language, video, or other foundation models), including ownership of training at scale
- Strong understanding of model architecture and the ability to contribute meaningfully to architectural/training decisions
- Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development
- Relevant industry experience (typically 4–5+ years); advanced degrees are valued, but depth of applied experience is important
Desirable
- Direct experience with world models, video generation, or long-horizon prediction
- Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability)
- Proven technical leadership (tech lead ownership, mentoring, setting direction across an area)
This is a full-time role based in our office in London. 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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
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
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
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.
Frequently Asked Questions
Is the salary disclosed for the Staff ML Engineer, Gaia position at wayve?
The salary for this Staff ML Engineer, Gaia role at wayve is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff ML Engineer, Gaia position at wayve located?
This Staff ML Engineer, Gaia role at wayve is based in London. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Staff ML Engineer, Gaia at wayve belong to?
This Staff ML Engineer, Gaia position is part of the Simulation, Evaluation, Validation department at wayve. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff ML Engineer, Gaia position at wayve?
Click the "Apply Now" button on this page. You will be redirected to wayve's official application portal hosted on greenhouse where you can submit your application directly.
When was the Staff ML Engineer, Gaia job at wayve posted?
This Staff ML Engineer, Gaia position at wayve was posted on Jun 26, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff ML Engineer, Gaia
wayve
You'll be redirected to wayve's official application page on Greenhouse.