ML Engineer II — 3D Perception for Autonomous Trucks

Torc Robotics; Blacksburg, Christiansburg, Radford (VA, VA, VA); Hybrid; USD 153,000 - 184,000; Full time

Benefits offered by this job

Stock options

Premium health coverage

401K with match

Generous paid vacation

Job summary

Torc Robotics is seeking a Machine Learning Engineer II focused on 3D BEV perception to advance perception capabilities for autonomous trucks. You will develop, evaluate, and improve production ML solutions that enhance environmental understanding, model robustness, and system performance across Torc's autonomy stack.

Join a collaborative team of ML engineers and researchers, writing production-quality Python and PyTorch code and collaborating with software and autonomy teams to deliver scalable

Qualifications

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field with 4+ years of industry experience, or Master’s with 3+ years.
• Experience developing ML models for computer vision, perception, robotics, or autonomous systems.
• Strong Python and PyTorch coding skills for production-ready ML code.

Responsibilities

• Design, develop, and improve ML models for perception systems.
• Own model development and delivery from data prep to integration.
• Write production-quality Python and PyTorch code for training, evaluation, and inference.
• Collaborate with software, infrastructure, and autonomy teams to deploy models.

Skills

Python

PyTorch

Deep learning

Computer vision

3D perception

Model troubleshooting

Education

Bachelor's degree in CS/Robotics/EE/ML (4+ yrs)

Master's degree +3 yrs

Tools

PyTorch

Python

C++

Job description

Torc Robotics is seeking a Machine Learning Engineer II focused on 3D BEV perception to advance perception capabilities for autonomous trucks. You will develop, evaluate, and improve production ML solutions that enhance environmental understanding, model robustness, and system performance across Torc's autonomy stack.

Join a collaborative team of ML engineers and researchers, writing production-quality Python and PyTorch code and collaborating with software and autonomy teams to deliver scalable