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!
Wayve ships a new driving model baseline every week. The Model Integration & Release team runs simulation and on-road testing to decide whether candidates are ready to promote — and there is a significant opportunity to get more from the data we already collect. As our release process matures, the next step is building a deeper analytical layer: strengthening how we measure performance, turning on-road findings into better simulation tests, and aligning what we measure with what operators experience in the vehicle.
This is a senior, high-impact role on the Model Integration & Release team. You'll own that analytical layer — turning evaluation outputs into findings that improve both our models and how we measure them. You'll work across simulation, on-road experiment data, and our internal evaluation tooling, partnering with Validation, Data Science, and Product. You'll have the autonomy and scope to improve how we evaluate — from identifying gaps in our measurement approach through to implementing changes that make our release decisions more confident and our feedback loops faster.
Key Responsibilities
- Shape how we learn from evaluation data — define what “going deeper” means in practice, and build the habits, tooling, and workflows that make it part of how we release models
- Improve how we measure driving performance — identify blind spots, inconsistencies, and gaps in our simulation and offline metrics; drive improvements to our evaluation methods, suites, and scoring logic
- Close the loop between on-road testing and offline evaluation — investigate what happens on-vehicle during release testing, determine whether our offline tests should have caught it, and turn those findings into concrete improvements to coverage and measurement
- Perform day-to-day experiment analysis and apply statistical rigor to evaluation data to provide confident, data-driven promotion recommendations for new driving models
- Expand what “good” means beyond intervention rates — develop and apply a richer view of model quality using the behavioural and operational signals we already collect
- Partner with Data Science and Validation on how we define, implement, and maintain evaluation methods and ground truth
- Support partner-facing quality investigations — help quantify and track issues raised through OEM QA workflows so they can be addressed within our release process
- Turn investigations into durable improvements — document findings and recommendations in a way the team can act on within a weekly release cadence, and follow through so the same class of issue doesn’t recur
In order to set you up for success as a Senior Data Scientist at Wayve, we’re looking for the following skills and experience.
Essential
- Strong analytical and investigative skills — you’re comfortable going from a vague “something looks off” to a clear, evidence-backed conclusion
- Hands-on experience working with ML evaluation data, driving performance metrics, or complex test results at scale, including statistical methods for A/B testing and experimentation (e.g., confidence intervals, distributions, and sampling)
- Proficiency in Python or SQL; comfortable querying and analysing large datasets
- Ability to operate with autonomy in a fast-moving environment — you can set your own priorities within a broader goal, and know when to fix something yourself vs. when to escalate or partner
- Clear written communication — you turn messy investigations into concise, actionable recommendations for technical and non-technical audiences
- Genuine curiosity about why a model behaves the way it does, and whether we’re measuring the right things
Desirable
- Experience in autonomous driving, robotics, or safety-critical ML systems
- Familiarity with simulation-based testing, on-road experiment analysis, or statistical methods for comparing model behaviour
- Experience working across product, safety, and engineering teams to define what “good” looks like
- Exposure to OEM or partner validation workflows
- Experience improving evaluation infrastructure or measurement methodology
This is a full-time role based in our office in either in London/UK or Sunnyvale/US. 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.
Skills Required
- Strong analytical and investigative skills, including the ability to develop evidence-backed conclusions from ambiguous issues
- Hands-on experience with ML evaluation data, driving performance metrics, or complex test results at scale
- Experience using statistical methods for A/B testing and experimentation, including confidence intervals, distributions, and sampling
- Proficiency in Python or SQL and ability to query and analyze large datasets
- Ability to work autonomously in a fast-moving environment and prioritize effectively
- Clear written communication for technical and non-technical audiences
- Curiosity about model behavior and measurement quality
- Experience in autonomous driving, robotics, or safety-critical ML systems
- Familiarity with simulation-based testing, on-road experiment analysis, or statistical methods for comparing model behavior
- Experience working across product, safety, and engineering teams to define quality standards
- Exposure to OEM or partner validation workflows
- Experience improving evaluation infrastructure or measurement methodology
Wayve Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wayve and has not been reviewed or approved by Wayve.
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Healthcare Strength — Private healthcare and access to therapy via Spill are part of the standard package. This indicates robust health support within the core offering.
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Leave & Time Off Breadth — Paid vacation, public holidays, and additional leave programs are explicitly listed. This breadth of time away supports work–life balance expectations.
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Equity Value & Accessibility — Cash plus equity is standard in offers at this growth stage. This provides ownership alongside salary with perceived upside tied to company momentum.
Wayve Insights
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
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