3+ years of experience in machine learning for robotics, controls, or perception.
Proficient in Python and familiar with deep learning frameworks like PyTorch.
Hands-on experience with robot learning in practical real-world applications.
Skilled in developing tools for data visualization and debugging.
Strong communication skills for effective collaboration in agile teams.
Responsibilities
Design and create advanced robot learning algorithms focused on manipulation.
Utilize large-scale, real-world data to enhance robot behavior.
Take ownership of the complete development process from task definition to on-robot deployment.
Work closely with an interdisciplinary team to develop consumer robots.
Produce clean, production-quality code to support research and deployment efforts.
Benefits
Opportunity to work with a pioneering robotics team on innovative consumer products.
Engagement in cross-functional collaboration fostering professional growth.
Significant involvement in shaping technology that delivers real-world value to users.
A challenging role addressing cutting-edge problems in robotics and AI.
Full Job Description
What to Expect
In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system. At the same time, we're building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross-functional team, you'll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most.
As a Machine Learning Research Engineer, you will work on the software and algorithms that enable our robots to complete dexterous manipulation tasks in home environments. You will leverage our unique large-scale in-the-wild data collection operation and our growing robot fleet to continuously add new behaviors and improve robustness across tasks and environments.
What You'll Do
Design and develop state-of-the-art robot learning algorithms for manipulation and controls
Leverage large-scale in-the-wild data collection to develop generalizable robot behaviors
Own the end-to-end loop from task definition and data curation to model training, evaluation, and on-robot deployment
Collaborate closely with a full-stack robotics team to develop a consumer personal robot
Write maintainable, production quality code for research and deployment
What You'll Bring
3+ years (or equivalent) working on machine learning for robotics, controls, or perception
Proficiency with Python and any deep learning framework (PyTorch preferred)
Hands-on experience with robot learning for real-world tasks, including offline/online training and evaluation
Implement tooling for visualization, debugging, and evaluation of data and learning pipelines
Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams
Nice to Have
Familiarity with classical robotics fundamentals (e.g. controls, planning, state estimation)
Comfortable profiling and optimizing for latency, memory, and compute on edge devices
Experience with large-scale model training pipelines (LLM/VLM/VLA)
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.
