Principal Research Scientist, Robot Foundation Model
Sunnyvale, California, United States · Hybrid
$407k–$512k/yr
Senior$2.5B raised
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 …
Skills: Machine learning, Vision-language models, Video models, Robot policies, Foundation models
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 …
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 …
Skills: Data Engineering, Python, SQL, Data Modeling, ETL/ELT
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 …
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 …
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 …
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Sunnyvale, California, United States · Hybrid
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Principal Research Scientist, Robot Foundation Model
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$407k–$512k/yr
Full-time
postgraduate degree
Equity package
Posted 8d ago
~40 hrs/week
Responsibilities
Lead the research and development of robot foundation models, including architectures for vision-language-action models and large-scale training pipelines. Collaborate with cross-functional teams to translate research hypotheses into robust, real-world robotic capabilities.
Requirements
Requires deep experience in machine learning, specifically in foundation models, embodied AI, or robot policies, along with a strong publication record in top-tier venues. Candidates should possess strong coding skills and the ability to drive an independent research agenda within a collaborative environment.
Full job description
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 are looking for a Principal Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.
MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.
This is a senior, high-impact role with genuine 0→1 ownership. You will help define the research agenda, technical strategy and foundations of a new robotics program, working alongside world-class researchers in foundation models, embodied intelligence and large-scale machine learning.
You will have the opportunity to work across the entire robot-learning stack: building scalable data flywheels, developing new model architectures and learning algorithms, training large models, designing rigorous evaluations and deploying policies on real robots. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.
Your day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video generation, reinforcement learning, imitation learning and behavioral cloning. You will work with large-scale video and robotics datasets, distributed training infrastructure and a growing fleet of physical platforms.
You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
This is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.
Key Responsibilities
Lead research into architectures, data and learning approaches for robot foundation models.
Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.
Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.
Synthesize, curate and filter large-scale video datasets for model training and evaluation.
Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.
Influence and/or own technical decisions around robot policy development, data strategy and model design.
Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.
Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.
About You
In order to set you up for success as a Principal Research Scientist at Wayve, we’re looking for the following skills and experience.
Essential
Deep experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, foundation models for robotics or embodied AI.
Experience with scalable training, such as multi-node training, large datasets and/or large model training.
Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
Strong coding skills and hands-on experience with modern machine learning frameworks.
Ability to design and drive an independent research agenda while collaborating closely with engineering and robotics teams.
Experience translating research ideas into working systems, experiments or deployed capabilities.
Strong communication skills and the ability to influence technical direction across teams.
Desirable
PhD in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.
5+ years of relevant industry experience.
Experience with real robots, robotic learning, embodied AI, simulation or policy learning.
Experience working with large-scale video data and sequential decision-making systems.
Experience mentoring researchers or leading technical workstreams.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $407,000 to 512,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
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.
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.
At Wayve, we’re building a global driving intelligence that learns from data and scales across different vehicles and geographies.
Founded in 2017, we have pioneered an end-to-end AI approach to autonomous driving that is faster to deploy, more flexible by design and built to scale.
We deliver all levels of autonomy, from hands-off and eyes-off driving, to robotaxis. We license and integrate the Wayve AI Driver as a vehicle-agnostic software platform that runs entirely on onboard vehicle compute and native sensors.
Wayve is the first and only AV company to test a single global AI Driver model across more than 500 cities in Europe, North America and Japan.
We’re building autonomy for anyone, in any vehicle, anywhere.
Offices: ., London, United Kingdom, GB · 709 N Shoreline Blvd, Mountain View, California 94043, US
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