What are the responsibilities and job description for the Applied Science Internship position at Wayve?
About the Role
Our team is seeking a talented Machine Learning Intern to join us for a period of 3-6 months and propel our ambitious research in embodied foundation models forward.
We're not just another team; we're a dynamic blend of Applied Scientists, Machine Learning Engineers, and Software Engineers united together to apply state-of-the-art research to the road. From pioneering advancements in large-scale, multi-modal embodied Foundation Models, Offline Reinforcement Learning (RL) and Reinforcement Learning from Human Feedback (RLHF), our projects are designed to dramatically enhance our capabilities in embodied AI. But it's not just about what we do—it's how we do it. We believe in the power of cross-functional collaboration, rigour in engineering, and a relentless pursuit of innovation.
In this role, you might:
● Contribute to the Wayve Foundation Model, including large scale pretraining, posttraining, leveraging 3D priors or improving spatial understanding.
● Help us efficiently train models with large-scale data and evaluate performance on open (and closed) datasets/benchmarks.
● Publish your work as an intern at a top tier conference (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others).
● Develop tools for data visualisation, understanding, and exploration.
You’d be a great match for this role if:
● You have previous experience in world models, vision-language models, large language models, natural language processing, computer vision, 3D priors, SLAM, or robotics.
● You have solid software engineering fundamentals, especially in Python
● You have previously used PyTorch or a similar library for deep learning (e.g. Tensorflow, JAX). Experience with distributed training a plus.
● You are interested in using large scale datasets to improve embodied AI.
Essentials:
● You are currently pursuing a graduate degree in a Computer Science, Machine Learning, Robotics, or related technical field.
● You are proficient in at least one backend/systems programming language (e.g. Python, Ruby, Java, etc).
