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 engineers.
- Why this job: Shape the future of autonomy and tackle significant 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 Leicester 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 hours, all while collaborating with world-class researchers and engineers. The company's supportive work culture, combined with unique perks such as an onsite chef and wellness initiatives, 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 Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wayve. A friendly chat can open doors that applications alone can't. Use LinkedIn or even our website to connect with current employees.
✨Tip Number 2
Prepare for interviews by diving deep into Wayve's projects and values. Show us you understand our mission and how your skills can contribute. Tailor your examples to highlight your experience with dataset design and multi-modal learning.
✨Tip Number 3
Practice your problem-solving skills! We love candidates who can think on their feet. Brush up on scientific experiments and data-centric evaluations, as these will likely come up during technical interviews.
✨Tip Number 4
Don’t forget to 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 our team at Wayve.
We think you need these skills to ace Remote Applied Scientist - WFM Data in Leicester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Applied Scientist. Highlight your experience with dataset design and any relevant publications. We want to see how your unique skills align with our mission at Wayve!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Research Impact:If you've got publications, make them stand out! Include links or references to your work in your application. We love seeing how your research has made an impact in the field of machine learning.
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 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 help you answer technical questions but also show your passion for the subject.
✨Showcase Your Experience
Prepare to discuss your hands-on experience with curating and scaling large datasets. Be ready to share specific examples of projects you've worked on, particularly those involving machine learning frameworks like PyTorch. This will demonstrate your practical skills and how they align with the role.
✨Collaboration is Key
Wayve values teamwork, so be prepared to talk about your experience working with cross-functional teams. Highlight instances where you collaborated with researchers, engineers, or other stakeholders to achieve a common goal. This will show that you can thrive in their inclusive environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about Wayve’s projects or their approach to data-centric experiments. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
