Founding Robotics ML Research Engineer

Energize Recruitment
Boston, US
On-site

Job Description

Founding Robotics ML Research Engineer

Location: [Redacted]

Company: Venture-backed Robotics Startup (YC-backed)

About the Company

A fast-growing, venture-backed robotics company is building the next generation of autonomous systems designed to monitor and maintain critical digital infrastructure.

Founded by engineers from top robotics institutions and industry-leading organizations, the team brings deep expertise across defense, logistics, agriculture, and industrial inspection.

Their mission is to deploy intelligent, dependable robotic systems into real-world environments that underpin the global digital economy.

The Role

As a Founding Robotics ML Research Engineer, you’ll operate at the intersection of cutting-edge research and real-world deployment. This is a highly hands-on role focused on taking state-of-the-art machine learning approaches and turning them into robust, production-ready robotic systems.

You’ll play a key role in shaping both the technical direction and the engineering culture of the company.

What You’ll Do

Develop and deploy learning-based policies (e.g. behavior cloning, reinforcement learning) for complex robotic manipulation tasks

Build and scale infrastructure for data collection, model training, and real-time system operation

Translate advanced robotics and ML research into practical, high-performance systems deployed in real environments

Work across the full stack, from model development through to on-robot execution

Collaborate closely with a small, high-caliber team in a fast-paced, experimental environment

What We’re Looking For

Background in Robotics, Computer Science, Machine Learning, or related field (MS/PhD preferred)

Experience with modern ML approaches for robotics (e.g. diffusion policies, vision-language-action models)

Proven experience deploying ML-based perception or control systems on physical robots

Strong understanding of robotics fundamentals including manipulation, control, and motion planning

Experience with standard ML tooling, frameworks, and workflows

Comfortable operating in early-stage environments with high ownership and ambiguity

Nice to Have

Publications in top-tier conferences (e.g. robotics, ML, or computer vision)

Experience with embedded AI or edge deployment

Background in real-world robot deployment in industrial environments

Familiarity with teleoperation systems or human-in-the-loop training

Contributions to open-source robotics or ML projects

Exposure to tactile sensing or advanced manipulation systems

Why Join

Founding-level impact with ownership over both technical direction and culture

Opportunity to work on real-world robotics problems with immediate deployment

No legacy systems, minimal bureaucracy, high autonomy

Build systems that directly impact critical global infrastructure

Additional Info

We’re looking for exceptional builders, not checklist candidates. If you thrive in fast-moving environments and care about turning research into reality, this is the kind of team where you’ll do your best work.

Founding Robotics ML Research Engineer

Location: [Redacted]

Company: Venture-backed Robotics Startup (YC-backed)

About the Company

A fast-growing, venture-backed robotics company is building the next generation of autonomous systems designed to monitor and maintain critical digital infrastructure.

Founded by engineers from top robotics institutions and industry-leading organizations, the team brings deep expertise across defense, logistics, agriculture, and industrial inspection.

Their mission is to deploy intelligent, dependable robotic systems into real-world environments that underpin the global digital economy.

The Role

As a Founding Robotics ML Research Engineer, you’ll operate at the intersection of cutting-edge research and real-world deployment. This is a highly hands-on role focused on taking state-of-the-art machine learning approaches and turning them into robust, production-ready robotic systems.

You’ll play a key role in shaping both the technical direction and the engineering culture of the company.

What You’ll Do

Develop and deploy learning-based policies (e.g. behavior cloning, reinforcement learning) for complex robotic manipulation tasks

Build and scale infrastructure for data collection, model training, and real-time system operation

Translate advanced robotics and ML research into practical, high-performance systems deployed in real environments

Work across the full stack, from model development through to on-robot execution

Collaborate closely with a small, high-caliber team in a fast-paced, experimental environment

What We’re Looking For

Background in Robotics, Computer Science, Machine Learning, or related field (MS/PhD preferred)

Experience with modern ML approaches for robotics (e.g. diffusion policies, vision-language-action models)

Proven experience deploying ML-based perception or control systems on phys

Skills & Requirements

Technical Skills

Machine learningRoboticsData collectionModel trainingReal-time system operationBehavior cloningReinforcement learningDiffusion policiesVision-language-action modelsEmbedded aiEdge deploymentTactile sensingAdvanced manipulation systemsCollaborationOwnershipAmbiguityFast-paced environmentDefenseLogisticsAgricultureIndustrial inspection

Employment Type

FULL TIME

Level

senior

Posted

4/30/2026

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