Roboticist

Goliath Partners Inc.; New York, Northern (NY, KY); Hybrid; USD 383,000 - 468,000; Full time

Benefits offered by this job

Competitive base salary

Equity package

Job summary

Goliath Partners Inc. in New York City is seeking a Machine Learning Engineer, Robotics/ Physical AI Architect to join a new robotics research function.

You will design and advance robotics learning systems, focusing on hardware-aligned modeling, simulation-to-real integration, and embodied intelligence. Collaborate with multidisciplinary teams to translate cutting-edge AI into scalable robotic capabilities, train large-scale models for perception and control, and prototype rapidly using Python

Qualifications

• Strong track record in robotics, ML, CV or related fields.
• Experience training large-scale perception/decision/control models.
• Proficiency in Python and modern ML frameworks for rapid prototyping.

Responsibilities

• Design and advance robotics learning systems for intelligent agents in real-world environments.
• Collaborate with multidisciplinary teams to translate AI research into scalable robotic capabilities.

Skills

Robotics

Machine learning

Computer vision

Python

PyTorch

TensorFlow

Tools

PyTorch

TensorFlow

Job description

Goliath is currently partnering with a Frontier AI research laboratory in New York City as they look to build out a new Robotics Research function.

As many competing labs continue to invest heavily in Physical AI, spanning both drug discovery and robotics, our client has identified robotics as a key strategic growth area and is making a significant commitment to establishing an entire robotics pillar from the ground up. This initiative will play a central role in shaping the firm's long-term research direction and capabilities.

This role will be more hardware focused (not design, but modeling onto hardware and loading policies that control parts of the robot i.e. arms). So systems integration, data collection, sim to real.

Role:

Machine Learning Engineer, Robotics/ Physical AI Architect.

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.

Essential Requirements

• 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.
• Deep proficiency in Python and modern machine learning frameworks, with the ability to rapidly prototype and iterate on new ideas.

Beneficial skills:

• Experience working with robotic platforms, simulation environments or real‑world sensor data.
• Publications, open‑source contributions or notable achievements in embodied AI, reinforcement learning, world models or related research areas.

Compensation:

Our client is able to offer very compelling base salaries of up to $425,000 with competitive equity packages to take this to $800-1,5M+ Y1.