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- Tasks: Lead the development of evaluation metrics for cutting-edge AI models in a dynamic environment.
- Company: Wayve is a pioneering company in Embodied AI technology, enhancing automated driving systems since 2017.
- Benefits: Enjoy flexible working hours, competitive salary, equity options, and unique perks like onsite yoga and chef.
- Why this job: Shape the future of autonomy while collaborating with top-tier researchers and engineers in an inclusive culture.
- Qualifications: 5+ years in ML, strong Python skills, and experience with human annotation workflows are essential.
- Other info: Hybrid working policy allows for both office collaboration and remote work flexibility.
The predicted salary is between 48000 - 84000 £ per year.
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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Machine Learning Engineer - Evaluation London; Sunnyvale; Vancouver employer: Wayve Technologies Ltd.
Contact Detail:
Wayve Technologies Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Evaluation London; Sunnyvale; Vancouver
✨Tip Number 1
Familiarise yourself with the latest advancements in embodied AI and machine learning evaluation metrics. Being well-versed in current trends will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the autonomous systems and AI domains. Attend relevant meetups, webinars, or conferences to connect with people who work at Wayve or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your experience with human annotation workflows by discussing specific projects where you led or contributed to such efforts. Highlighting your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach building and scaling offline evaluation pipelines. Think through potential challenges and solutions, as this will demonstrate your problem-solving skills and readiness for the role.
We think you need these skills to ace Machine Learning Engineer - Evaluation London; Sunnyvale; Vancouver
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in designing and implementing offline evaluation pipelines. Use specific examples that demonstrate your skills in Python, data processing, and human annotation workflows.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for autonomous systems and embodied AI. Discuss how your background aligns with Wayve's mission and values, and mention any contributions to public benchmarks or datasets that are relevant to the role.
Showcase Your Projects: If you have worked on projects related to machine learning models, especially in vision or multimodal contexts, include these in your application. Provide links to any public repositories or papers that showcase your work and expertise.
Highlight Collaborative Experience: Emphasise your ability to collaborate cross-functionally. Mention any past experiences where you worked with diverse teams, particularly in fast-paced environments, to solve complex problems in machine learning or AI.
How to prepare for a job interview at Wayve Technologies Ltd.
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Machine Learning Engineer at Wayve. Familiarise yourself with offline evaluation pipelines, metrics design, and human annotation workflows. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Technical Skills
Prepare to discuss your software engineering skills, particularly in Python and ML tooling. Be ready to provide examples of past projects where you've designed and implemented evaluation pipelines or worked with foundation models.
✨Emphasise Collaboration
Wayve values cross-functional collaboration. Share experiences where you've successfully worked with diverse teams, especially in fast-paced environments. Highlight your ability to communicate effectively with science, datasets, and engineering teams.
✨Demonstrate Your Passion
Express your enthusiasm for autonomous systems and embodied AI. Discuss any relevant projects or research that showcase your commitment to advancing this field. This will resonate well with Wayve's mission and culture.
