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.
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
This is a high-impact opportunity to shape how Wayve evaluates its foundation models for embodied AI. You'll lead the development of our offline evaluation suite—designing robust, interpretable metrics for tasks ranging from action and perception to language-grounded reasoning. Working closely with science, datasets, and infra teams, you'll also drive human annotation efforts to ensure high-quality ground truth data. Your work will directly influence how we understand, trust, and deploy our models in the real world.
Key responsibilities:
- Build and scale offline evaluation pipelines for embodied AI models
- Design and implement benchmarks and metrics across vision, language, and driving tasks
- Lead and coordinate human annotation workflows, including quality assurance and task design
- Collaborate cross-functionally with science, datasets, and engineering teams
- Analyze offline metrics and correlate them with online performance to inform deployment readiness
What you’ll bring to Wayve
In order to set you up for success as a Senior Machine Learning Engineer – Evaluation at Wayve, we’re looking for the following skills and experience:
- ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI)
- Strong software engineering skills, including Python, data processing, and ML tooling
- Hands-on experience with human annotation workflows (task design, QA, coordination) as well as working with internal and external annotation partners
- Deep understanding of metrics and benchmark design to evaluate complex model behavior and a desire to build more.
- Ability to collaborate cross-functionally in fast-paced, high-ownership environments
- Experience with foundation models (LLMs or VLMs) and their evaluation
- Background in autonomous systems, robotics, or embodied AI domains
- Contributions to public benchmarks, datasets, or evaluation frameworks (e.g., nuScenes, AV2, Ego4D, ALFRED)
What we offer you
- Attractive compensation with salary and equity
- Immersion in a team of world-class researchers, engineers and entrepreneurs
- A unique position to shape the future of autonomy and tackle the biggest challenge of our time
- Bespoke learning and development opportunities
- Relocation support with visa sponsorship
- Flexible working hours - we trust you to do your job well, at times that suit you and your time
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
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.
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.
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.
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