Torc Robotics

Senior, Machine Learning Engineer - End-to-End

Remote - U.S, Ann Arbor, MI · Senior · Full-time

Sponsorship not specified$226k-$272kDetected 16 days ago

PythonMachine LearningPyTorchNLPA/B TestingRoboticsSensors

About the role

You'll work at the intersection of perception, prediction, and planning, contributing to unified learning pipelines that operate in closed-loop environments.
This role focuses on owning meaningful portions of the E2E stack, improving model performance at scale, and driving iteration through data, experimentation, and cross-functional collaboration.
This is a hands-on engineering role focused on execution, iteration, and delivery.

Own development and delivery of End-to-End ML models that map multi-modal sensor inputs (camera, LiDAR, radar, maps) to driving-relevant outputs (trajectories, cost functions, or intermediate representations)
Analyze model performance, identify failure modes, and drive data-driven improvements in robustness and generalization
Design and refine training pipelines, data workflows, and evaluation strategies to improve iteration speed and model quality
Collaborate closely with Perception, Prediction, Planning, and Simulation teams to ensure alignment across the autonomy stack
Support integration of E2E models into simulation and on-vehicle systems for closed-loop validation
Experience developing and deploying ML models for autonomous systems, robotics, or complex decision-making environments
Proven ability to debug model behavior, analyze performance metrics, and drive iterative improvements
Experience developing End-to-End or mid-to-end models for autonomous driving or robotics
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future.
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
AD+D and Life Insurance
Contribute to model architecture decisions, including approaches such as imitation learning, reinforcement learning, transformers, and vision-language-action (VLA) models
Experience with vision-language models (VLMs) or vision-language-action (VLA) systems
Experience with reinforcement learning or imitation learning in real-world systems

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
Meet the Team:
As a Senior Machine Learning Engineer - End-to-End (E2E), you will develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy for real-world freight operations.
Our culture is collaborative, energetic, and team focused.
We are also open to hiring Remote in the United States.
For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.