Senior Robotics ML Engineer — AI for Humanoid Systems

Apptronik; Austin, Northern (TX, KY); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Apptronik is a human-centered robotics company building AI-powered robots. Our flagship humanoid robot is built to collaborate with people, starting with manufacturing and logistics, with future applications in healthcare, the home, and beyond.

The Principal Robotics Machine Learning Engineer will own end-to-end manipulation learning for real-world robots, from data collection to on-robot deployment, and diagnose performance bottlenecks to ensure scalable, reliable operation.

Qualifications

• BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• 7+ years of relevant experience (or 5+ years with a PhD) focused on robotic manipulation or complex motion control.
• Proven track record of taking complex algorithms from conception to deploying on physical hardware.

Responsibilities

• Implement and deploy state-of-the-art ML models/algorithms to achieve world-class performance on open world object manipulation tasks with physical hardware.
• Drive the data engine for manipulation learning: data collection strategy, curation, annotation, and synthetic/real data mix, in close partnership with data infrastructure teams.
• Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning models on the robot.
• Identify and prioritize performance bottlenecks, distinguishing between root causes traceable to classical vision vs model/data, to prioritize fixes for reliability.
• Act as a force multiplier across the organization, fostering technical rigor and mentoring robotics leaders.

Skills

Deployment Experience

AI Model Development

Software Eng.

AI Data Pipeline

Computer Vision

Hardware Bring-up

ML Ops

Teleoperation

Simulation Environments

Logistics Automation

Education

BS/MS/PhD in Robotics/CS/EE

7+ years experience in robotic manipulation

Tools

PyTorch

Job description

Apptronik is a human-centered robotics company building AI-powered robots. Our flagship humanoid robot is built to collaborate with people, starting with manufacturing and logistics, with future applications in healthcare, the home, and beyond.

The Principal Robotics Machine Learning Engineer will own end-to-end manipulation learning for real-world robots, from data collection to on-robot deployment, and diagnose performance bottlenecks to ensure scalable, reliable operation.