Boost Robotics is developing the next generation of autonomous systems that monitor and maintain data centers.
The Role
As a Robotics ML Research Engineer, you will develop algorithms for robot manipulation, lead software infrastructure, and innovate in robotics learning research.
Summary Generated by Built In
Founding Robotics ML Research Engineer
The Role
What We’re Looking For
Bonus Points
Why you’ll join us
Compensation
Boost Robotics is developing the next generation of autonomous systems that monitor and maintain the world’s digital infrastructure. Backed by Y Combinator, our team consists of former CMU Robotics and Boston Dynamics engineers who have worked on robot systems in defense, agriculture, logistics, and industrial inspection.
The mission? Bring dependable, intelligent robotics to some of the most important and fastest-growing infrastructures powering the world’s digital backbone - data centers.
As a Founding Robotics ML Research Engineer, you will:
- Deploy modern behavior cloning and reinforcement learning policies for dextrous tasks in the data center, with a focus on high success rates.
- Lead the software infrastructure for data collection, training, and real-time operation.
- Stay at the frontier of robotics learning research and translate it into production-ready systems that push the boundaries of today’s state of the art.
- Background in Robotics, Computer Science, Machine Learning, or a related field (MS/PhD preferred).
- Experience training large manipulation models (diffusion policies, VLAs)
- Experience developing and deploying learning-based control and perception algorithms on real robots.
- Experience with common ML tools, architectures, and workflows
- Strong foundation in classical manipulation, control theory, and motion planning.
- Comfort working in small, fast-paced teams where experimentation is constant and results matter.
- Familiarity with various robot teleoperation techniques.
- Track record of publishing or contributing to top-tier conferences like ICRA, CoRL, RSS, NeurIPS, or CVPR.
- Background in embedded AI or edge deployment.
- Contributions to open-source robotics or ML projects.
- Experience deploying robots in production or industrial environments.
- Exposure to tactile sensing for manipulation.
We’re not hiring for a checklist - we’re hiring for exceptional people. If you move fast, think deeply, and love building things that actually work, you’ll fit right in.
There’s no instruction manual for what we’re building. There’s also no legacy code and no layers of approval - just engineers turning ideas into deployed, practical robots that keep the entire digital world online.
We’re friends and builders who hold the highest standards for ourselves and our work. Joining us means having a say in everything - the culture, the rituals, the engineering stack, and what our robots look like. You won’t just work here - you’ll help create what “here” means.
The salary for this role is $120K - $200K, with competitive startup equity, health benefits, and relocation as needed.
Top Skills
Machine Learning
Robotics
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Physical agents for digital infrastructure.
