Research Scientist Intern, Wayve

Embodied Foundation Models, Data, Modeling, & Reasoning

Salary not provided

Python

Java

Tensorflow

Ruby

PyTorch

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

Autonomous mobility driven by AI

Job no longer available

Autonomous mobility driven by AI

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Job no longer available

Salary not provided

Python

Java

Tensorflow

Ruby

PyTorch

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility with embodies intelligence, aiming to lead the world into a new era of autonomy.

Job

Company

Role

Who you are

You have previous experience in vision-language models, large language models, natural language processing, especially around reasoning
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 multi-node distributed training of large models
You are interested in using large-scale multimodal (vision, language, etc.) datasets to improve embodied AI
You have previous publications in the following conferences (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others)
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)
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

What the job involves

Our team is seeking a talented Applied Scientist Intern to join us for 3-6 months and propel our ambitious research in embodied foundation models forward
We’re a team of Applied Scientists, Machine Learning Engineers, and Software Engineers who strive to expand the horizons of embodied AI beyond simply reacting to perceptual inputs toward reasoning over them to handle even the most complex and rare situations
Our projects encompass some of the hardest problems in AI and require leveraging the latest research, state-of-the-art models, rigorous engineering, and cross-functional collaboration
Work on foundation models for embodied AI, including large-scale pretraining, post-training, leveraging language, or improving reasoning capabilities
Train models on large-scale multimodal (vision, language, etc.) data efficiently in a multi-node distributed system, and evaluate their performance on open (and closed) datasets/benchmarks
Lead a high-impact research work and publish at a top tier conference (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others)

Our take

Wayve is developing 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

Top investors

28% female employees

24% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 7 rounds)

May 2024

$1.1bn

SERIES C

Jan 2022

$200m

SERIES B

Total funding: $1.3bn

Company benefits

Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
Mental health resources: Through Spill, you can access therapy and mental health support.
Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Company HQ

London, UK

Leadership

Alex Kendall

(Co-Founder & CEO)

Alex has a PhD from Cambridge in Computer Vision & Robotics. Prior to Wayve, he was a Research Fellow at Trinity College, a Scientific Advisor at Scape Technologies, a Research Engineer at Skydio, and a Software Engineer at Beca.

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