Autonomous Robotics ML Engineer

United States Digital Space LLC; United States; Remote; USD 220,000 - 300,000; Full time

Job summary

United States Digital Space LLC is seeking an ML Engineer – Robotics in Mountain View, CA for on-site work. You will design, train, and deploy intelligent models that power autonomous systems at the intersection of ML, control, and real-world robotics.

You will build perception, planning, and decision pipelines that enable adaptive machines in challenging environments. The role requires 3–8 years in ML/robotics or CV, strong Python/C++, and hands-on PyTorch or TensorFlow experience, plus

Qualifications

• Experience applying ML to robotics, perception, and planning.
• Strong programming skills in Python and C++.
• Hands-on experience with PyTorch or TensorFlow and ROS/ROS2.

Responsibilities

• Design, train, and deploy ML models for perception, planning, and control in autonomous systems.
• Develop perception, motion planning, and control pipelines integrated with robotics stacks.
• Build vision and sensor fusion systems using camera, LiDAR, and IMU data.
• Collaborate with hardware and robotics engineers to deploy in real environments.
• Evaluate model performance across diverse real-world scenarios.

Skills

Machine Learning

Robotics

Computer Vision

Python

C++

Data collection pipelines

Model deployment

Tools

PyTorch

TensorFlow

ROS/ROS2

Gazebo

CARLA

MuJoCo

Job description

United States Digital Space LLC is seeking an ML Engineer – Robotics in Mountain View, CA for on-site work. You will design, train, and deploy intelligent models that power autonomous systems at the intersection of ML, control, and real-world robotics.

You will build perception, planning, and decision pipelines that enable adaptive machines in challenging environments. The role requires 3–8 years in ML/robotics or CV, strong Python/C++, and hands-on PyTorch or TensorFlow experience, plus