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Research Scientist Intern, Data for Embodied AI

London, United Kingdom

science

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 

We’re looking for a curious and motivated Intern to join our Science team in London, contributing to the development of large-scale data systems and pipelines that power multimodal foundation models for autonomous driving.

You’ll collaborate closely with experienced ML engineers and researchers to build tools and infrastructure that transform raw real-world data into high-quality training datasets. This role offers the opportunity to work on petabyte-scale video, lidar, and telemetry data—contributing directly to the systems that enable self-learning AI models.

The ideal candidate has a strong foundation in machine learning, data systems, or computer vision, and a passion for scaling AI through high-quality, diverse data. You’ll gain hands-on experience with end-to-end data workflows, experimental design, and data-centric AI research.

What you will bring to Wayve

Essential:

• Currently pursuing a PhD or Master’s degree in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field.
• Strong programming skills in Python, and experience with libraries such as PyTorch, NumPy, and Pandas.
• Understanding of large-scale data processing concepts — e.g. distributed pipelines, batching, data ingestion, or caching strategies.
• Interest in data-centric ML, dataset quality, and understanding how data impacts model performance.
• Familiarity with at least one of: computer vision, sensor fusion, spatio-temporal learning, or foundation model training.
• Motivation to collaborate in an interdisciplinary team and take ideas from prototype to robust, scalable systems.

Desirable:

• Experience working with large multimodal datasets (e.g. video, LiDAR, or other sensor data).
• Familiarity with data orchestration or workflow tools.
• Exposure to distributed computing frameworks like Ray, Spark, or Dask.
• Interest in embodied AI, simulation, or generative data pipelines.
• Track record of scientific contributions through publications at venues such as CVPR, ICCV, CoRL, NeurIPS, ICML, ICRA, RSS, AAAI.
• Experience in bridging research and applied engineering, particularly within robotics or autonomous systems.

What we offer:

• The chance to work on transformative AI systems with real-world impact on mobility, safety, and autonomy.
• Mentorship from leading ML engineers and researchers working on foundation models and data systems.
• Access to massive multimodal datasets, cutting-edge infrastructure, and high-performance compute.
• A collaborative, respectful, and learning-driven environment that encourages bold ideas and experimentation.
• Potential to contribute to publications or open research efforts at top-tier conferences.

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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

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.