At a Glance
- Tasks: Lead the design and experimentation of core pretraining datasets for embodied AI.
- Company: Wayve, a pioneering developer of Embodied AI technology.
- Benefits: Attractive salary, equity, flexible hours, and unique learning opportunities.
- Other info: Join a diverse team of world-class researchers and enjoy a vibrant work culture.
- Why this job: Shape the future of autonomy and tackle groundbreaking challenges in AI.
- Qualifications: 3-5 years post-PhD experience in dataset design and multi-modal learning.
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. 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.
The role We’re looking for a senior Applied Scientist to lead the design and experimentation of Wayve’s core pretraining datasets for foundation models in embodied AI. This is a high-impact opportunity to shape the data that drives model generalization across cities, embodiments, and reasoning tasks. You'll work across research, data, and engineering teams to build world-class multi-modal datasets and define how we evaluate and improve them at scale.
Key responsibilities- Lead the design, curation, and analysis of large-scale pretraining datasets for embodied AI
- Develop and run data-centric experiments to optimize training effectiveness and generalization
- Collaborate with cross-functional teams in London, Sunnyvale, and Vancouver on data architecture and strategy
- Define and implement metrics and benchmarks to assess dataset quality and model-data interactions
- Contribute to research outputs, tools, and processes that elevate data as a core lever for progress
In order to set you up for success as a Senior Applied Scientist at Wayve, we’re looking for the following skills and experience.
Essential- 3–5 years of experience post-PhD, or equivalent experience in industry with a focus on dataset design, multi-modal learning, or pretraining
- Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar
- Hands-on experience curating, filtering, and scaling large datasets (vision, video, or multi-modal) for machine learning models
- Proficiency with machine learning frameworks (e.g., PyTorch) and large-scale data processing (e.g., Ray, Spark, Flyte and other distributed compute infrastructure)
- Ability to design and run scientific experiments to evaluate dataset impact on model performance
- Strong communication and collaboration skills, with experience working across technical and cross-functional teams
- Experience with foundation model training pipelines and data selection for large-scale pretraining
- Familiarity with multi-modal, temporal, or sensor-rich datasets (e.g., video, LiDAR, text)
- Contributions to benchmark design, data-centric evaluations, or open-source tooling for dataset experimentation
- 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 leave
Remote Applied Scientist - WFM Data in Middlesbrough employer: Wayve
Wayve is an exceptional employer that champions a diverse and inclusive culture, fostering an environment where every employee's unique skills and perspectives are valued. With a commitment to innovation in Embodied AI technology, employees benefit from attractive compensation packages, bespoke learning opportunities, and flexible working arrangements, all while collaborating with world-class researchers and engineers. The company's focus on personal growth and well-being, alongside its mission to revolutionise automated driving, makes Wayve a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Applied Scientist - WFM Data in Middlesbrough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wayve. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with dataset design and multi-modal learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your past projects and how they relate to the role at Wayve.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Wayve team.
We think you need these skills to ace Remote Applied Scientist - WFM Data in Middlesbrough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of an Applied Scientist. Highlight your work with datasets, machine learning frameworks, and any relevant publications to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about embodied AI and how your background makes you a great fit for Wayve. Share specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Research Impact:If you've got publications or projects that demonstrate your applied research skills, make sure to include them! We love seeing how you've contributed to the field and how that experience can benefit our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your knowledge of dataset design and multi-modal learning. Familiarise yourself with the latest research in the field, especially publications from NeurIPS or ICML. This will not only show your expertise but also your passion for the subject.
✨Showcase Your Experience
Prepare to discuss your hands-on experience with large datasets and machine learning frameworks like PyTorch. Have specific examples ready that highlight your contributions to dataset curation and scaling, as well as any experiments you've run that improved model performance.
✨Collaboration is Key
Wayve values teamwork, so be ready to talk about your experience working with cross-functional teams. Share examples of how you've collaborated with researchers and engineers to achieve common goals, and emphasise your strong communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about Wayve's approach to data architecture and strategy. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of advancing autonomy in AI technology.
