Applied Science Internship, Wayve
3-6 months
2-5 days a week in office
Autonomous mobility driven by AI
Be an early applicant
Autonomous mobility driven by AI
201-500 employees
Be an early applicant
2-5 days a week in office
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- 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
- 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
- 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)
What the job involves
- 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
- 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
Salary benchmarks
Our take
Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.
The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.
Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
28% female employees
24% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$1.1bn
SERIES C
Jan 2022
$200m
SERIES B
Total funding: $1.3bn
Company benefits
- Learning budget
- In-house chef
- Flexible Working
- Private health insurance and therapy
- Workplace nursery scheme
- Onsite bar
- Large social budgets
- Enhanced parental leave
Company values
- Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
- Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
- Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
- Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.
Company HQ
London, UK
Articles
Leadership
Alex Kendall
(CEO)Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies
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