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Machine Learning Engineer II – 3D Perception at Torc Robotics - ApplyBlast

Machine Learning Engineer II – 3D Perception

Torc Robotics

2 months ago

3.4 on Glassdoor

Fort Worth, Texas, United States

Hybrid

Full Time

Medior

1 applicant

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About this role

The Machine Learning Engineer II – 3D Perception will develop and improve machine learning models for Torc's autonomous truck perception systems, focusing on bird's‑eye‑view capabilities and multi‑modal sensor data. The role involves writing production‑grade Python and PyTorch code, analyzing model performance, and collaborating with software and autonomy engineers to integrate models into the larger autonomy stack.

Responsibilities

Design and develop machine learning models for perception systems
Own end-to-end model development from data preparation to integration
Lead technical initiatives and mentor junior engineers

Skills

Qualifications

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related fieldMaster's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field

About Torc Robotics

torc.ai

Headquarters

Blacksburg, Virginia, United States

Company Size

501-1000 employees

Founded

2005

View Profile

Torc Robotics is an autonomous-vehicle leader (since 2007) commercializing self‑driving trucks for safe, sustained long‑haul freight operations. The company develops and integrates autonomous driving technology to bring reliable, production‑scale solutions to the trucking industry. Torc emphasizes safety and real‑world validation as it works to “drive the future of freight.”