Robotics ML Engineer: Manipulation & Real-World Deployment

Trustwise; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Trustwise is seeking an ML Engineer II (Manipulation) to develop and deploy machine learning-based systems that enhance mobile robots' interactions in dynamic environments. You will build complex perception-to-action models and ensure robust and safe manipulation capabilities in real-world applications.

The ideal candidate will have significant experience in robotics, machine learning, and software engineering, particularly with PyTorch. Join Trustwise in shaping the future of human-robot collaboration.

Qualifications

• 3+ years of experience applying ML to robotics manipulation and control.
• Strong proficiency in PyTorch and building training pipelines.
• Experience deploying ML models to edge hardware.

Responsibilities

• Develop and deploy ML models for robotic manipulation.
• Build and maintain training pipelines for robot interaction.
• Analyze performance and drive iterative improvements.
• Optimize models for edge deployment.

Skills

Machine Learning

Robotics

Software Engineering in Python

PyTorch

Sim-to-Real Training

Education

Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering

Tools

Isaac Sim

Mujoco

ONNX

TensorRT

Job description

Trustwise is seeking an ML Engineer II (Manipulation) to develop and deploy machine learning-based systems that enhance mobile robots' interactions in dynamic environments. You will build complex perception-to-action models and ensure robust and safe manipulation capabilities in real-world applications.

The ideal candidate will have significant experience in robotics, machine learning, and software engineering, particularly with PyTorch. Join Trustwise in shaping the future of human-robot collaboration.