Senior ML Engineer - Vision for Autonomous Trucks (Remote)

torcrobotics; United States; Remote; USD 118,000 - 135,000; Full time

Benefits offered by this job

Bonus

Stock options

Healthcare benefits

Job summary

Torc Robotics is seeking a senior individual-contributor to own camera-based perception ML for autonomous long-haul trucking. You will guide models from research concepts through production, spanning model architecture, large-scale training pipelines, and integration into the autonomy stack.

Ideal candidates have deep ownership of vision models in safety-critical robotics, with strong Python/PyTorch skills and experience in distributed training.

Qualifications

• 6+ years of industry experience in computer vision or perception systems.
• Experience deploying deep learning models to production in autonomy/robotics.
• Strong Python and PyTorch programming with production-grade ML code.

Responsibilities

• Design, develop, and deploy deep learning models for camera-based perception tasks like object detection, segmentation, depth estimation, and scene understanding.
• Lead end-to-end model development from data curation to training, evaluation, and deployment to the autonomy stack.
• Write production-grade ML code powering scalable training, evaluation, and inference pipelines.

Skills

Python

PyTorch

CNNs

Transformers

Distributed training

Education

Bachelor's degree in CS/Robotics/EE/ML

Master's degree

PhD

Tools

Ray

Job description

Torc Robotics is seeking a senior individual-contributor to own camera-based perception ML for autonomous long-haul trucking. You will guide models from research concepts through production, spanning model architecture, large-scale training pipelines, and integration into the autonomy stack.

Ideal candidates have deep ownership of vision models in safety-critical robotics, with strong Python/PyTorch skills and experience in distributed training.