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!
About the Role
Our team is seeking a talented Engineering 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.
In this role, you might:
- 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.
- Curate large multimodal datasets for training and evaluation.
- Lead a high-impact research work and publish at a top tier conference (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others).
You’d be a great match for this role if:
- You have previous experience in vision-language models, large language models, natural language processing, especially around reasoning.
- You have prior experience in curating training data to steer the behavior of trained models.
- 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).
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).
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.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated hourly rate for this role is $99.76/hour.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
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.
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.
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.
Skills Required
- Currently pursuing a graduate degree in Computer Science, Machine Learning, Robotics, or related technical field
- Proficient in at least one backend/systems programming language (e.g., Python, Ruby, Java)
- Solid software engineering fundamentals, especially in Python
- Experience using PyTorch or a similar deep learning library (TensorFlow, JAX)
- Experience in vision-language models, large language models, or NLP focused on reasoning
- Experience curating large multimodal training datasets
- Experience with multi-node distributed training of large models
- Prior publications in top ML/robotics conferences (e.g., CVPR, ICCV, NeurIPS, ICRA)
Wayve Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wayve and has not been reviewed or approved by Wayve.
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Healthcare Strength — Private healthcare and access to therapy via Spill are part of the standard package. This indicates robust health support within the core offering.
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Leave & Time Off Breadth — Paid vacation, public holidays, and additional leave programs are explicitly listed. This breadth of time away supports work–life balance expectations.
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Equity Value & Accessibility — Cash plus equity is standard in offers at this growth stage. This provides ownership alongside salary with perceived upside tied to company momentum.
Wayve Insights
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
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