Robotics ML Engineer: Embodied AI & Real-World Systems

Goliath Partners Inc.; New York (NY); On-site; USD 425,000 - 1,500,000; Full time

Job summary

Goliath Partners Inc. in New York City seeks a Machine Learning Engineer, Robotics/ Physical AI Architect to lead the development of robotic learning systems and integrate AI research into embodied intelligent platforms.

The role emphasizes hardware-oriented modeling, system integration, data collection, and sim-to-real transfer, with collaboration across cross-functional teams and access to competitive equity packages.

Qualifications

• Strong track record of research or industry contributions in robotics, machine learning, computer vision or related fields.
• Experience developing and training large-scale models for perception, decision-making, planning or control.

Responsibilities

• Design and advance novel robotics learning systems that enable intelligent agents to understand, interact with and adapt to complex real-world environments.
• Collaborate with multidisciplinary research teams to translate cutting-edge AI research into scalable capabilities for embodied intelligence and autonomous systems.

Skills

Robotics research

Machine learning

Python programming

Computer vision

Tools

ML frameworks

Simulation environments

Job description

Goliath Partners Inc. in New York City seeks a Machine Learning Engineer, Robotics/ Physical AI Architect to lead the development of robotic learning systems and integrate AI research into embodied intelligent platforms.

The role emphasizes hardware-oriented modeling, system integration, data collection, and sim-to-real transfer, with collaboration across cross-functional teams and access to competitive equity packages.