Lead Robot Learning Engineer

Strive Robotics; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Strive Robotics is seeking a lead robot learning engineer to build and deploy learned capabilities for robots operating in manufacturing environments. You will own training architecture and implementation, working hands-on across models, data, and evaluation to deliver reliable systems for customer pilots.

You will train, adapt, and deploy models for perception, manipulation, locomotion, and machine operation, applying reinforcement learning and vision-language-action models, and ensuring

Qualifications

• Strong ML fundamentals and ability to train or adapt foundation models.
• Build production ML infrastructure and evaluate performance in real operating conditions.
• Experience deploying learned systems on physical robots and diagnosing failures.
• Hands-on robot learning engineers and technical leads with deployed robotic systems.

Responsibilities

• Train, adapt, and deploy models for perception, manipulation, locomotion, and machine operation.
• Apply reinforcement learning and fine-tune vision-language-action models for task-specific goals.
• Combine specialized models with other approaches and ensure reliability in field pilots.

Skills

ML fundamentals

Deployment experience

Production ML infra

Field performance ownership

Education

MS/PhD in robotics

Job description

We are looking for a lead robot learning engineer to build and deploy learned capabilities for robots operating in manufacturing environments. You will own training architecture and implementation, working hands-on across models, data, and evaluation to deliver reliable systems for customer pilots. You will report directly to our CTO.

What you will do:

Train, adapt, and deploy models for perception, manipulation, locomotion, and machine operation.

Apply reinforcement learning, fine-tune vision-language-action models, and combine specialized models with other approaches suited to each task. Use force feedback alongside vision and robot state to learn contact-rich behaviors.

What we are looking for:

Strong machine learning fundamentals and demonstrated ability to train or adapt foundation models, build production ML infrastructure, and evaluate performance against real operating requirements.

Experience deploying learned systems on physical robots, including diagnosing failures and improving reliability under conditions that differ from training.

Who this is for

Hands-on robot learning engineers and technical leads with evidence of deployed robotic systems and the ability to own problems from training through field performance. We value demonstrated results, and successful deployments carry the most weight.Master’s or PhD in robotics, computer science, machine learning, or a related field preferred. We look for 3+ years of experience in robot learning, including relevant graduate research, but welcome candidates with equivalent demonstrated ability.

About Strive

Strive Robotics is an AI systems integrator for manufacturing. We build robots and software that let customers deploy and reconfigure robotic workflows without outside integrators or robotics experience. Our approach combines classical controls, model-based perception, and fine-tuned vision-language-action models, choosing the tools that get reliable robotic solutions into customers’ hands as quickly as possible.

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