Founding Robotics ML Research Engineer - Data Center AI

Roboticsconnected; Boston (MA); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health benefits

Startup equity

Relocation assistance

Job summary

Boost Robotics, based in Boston, seeks a Founding Robotics ML Research Engineer to deploy behavior cloning and RL policies for dexterous tasks in data centers. You will lead data-collection, training, and real-time systems while advancing robotics learning research into production.

The role requires MS/PhD or equivalent, deep ML/robotics expertise, and comfort in a fast-moving startup environment with relocation support and equity opportunities.

Qualifications

• Background in Robotics, Computer Science, Machine Learning, or related field (MS/PhD preferred).
• Experience training large manipulation models (diffusionpolicies, VLAs).
• Experience 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.

Responsibilities

• 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.

Skills

Robotics

Machine Learning

Control theory

Motion planning

Experimentation

Education

MS/PhD preferred

Tools

Diffusion policies

VLAs

Job description

Boost Robotics, based in Boston, seeks a Founding Robotics ML Research Engineer to deploy behavior cloning and RL policies for dexterous tasks in data centers. You will lead data-collection, training, and real-time systems while advancing robotics learning research into production.

The role requires MS/PhD or equivalent, deep ML/robotics expertise, and comfort in a fast-moving startup environment with relocation support and equity opportunities.