---
title: 'Senior, Machine Learning Engineer - Camera Model at Torc Robotics'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-camera-model-torc-robotics-united-states-b6dyzds7y2xb'
type: 'job'
last_seen: '2026-09-23'
---

# Senior, Machine Learning Engineer - Camera Model at Torc Robotics

- **Company:** Torc Robotics
- **Location:** United States
- **Compensation:** $177k–$213k
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-23
- **Apply:** https://job-boards.greenhouse.io/torcrobotics/jobs/8765533002

## Job description

## About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

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](https://torc.ai/daimler-testing-automated-trucks-public/), 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.

Meet the Team

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments. This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

## What You’ll Do

- Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
- Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
- Write production-quality ML code to support scalable training, evaluation, and inference pipelines
- Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
- Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
- Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
- Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
- Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
- Contribute to model architecture decisions and technical discussions within the team
- Mentor junior engineers on implementation, debugging, and best practices

## What You’ll Need to Succeed

- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
- Experience developing and deploying deep learning models for computer vision or perception systems
- Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
- Experience training and evaluating models using large-scale datasets and distributed compute environments
- Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
- Experience debugging model behavior, analyzing performance metrics, and improving model reliability
- Ability to translate ambiguous problems into structured ML solutions and deliver independently
- Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

- Experience in autonomous driving, robotics, or simulation-based ML systems
- Experience with multi-task learning or unified perception architectures
- Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
- Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
- Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States

## 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. Our culture is collaborative, energetic, and team focused. Torc offers:

- 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 match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102952 Hiring Range for Job Opening US Pay Range $177,300—$212,800 USD

## About Torc Robotics

## Company Overview
- **One-liner**: Torc Robotics is an independent subsidiary of Daimler Truck developing SAE Level 4 autonomous driving software for long-haul, hub-to-hub freight trucks.
- **Entity Type**: Private (subsidiary of Daimler Truck)
- **Headquarters**: Blacksburg, Virginia, USA (additional offices in Fort Worth, TX; Ann Arbor, MI; Montréal, Canada)
- **Founded**: 2005 (as Torc Technologies)
- **Founders**: Group of Virginia Tech alumni (team from the DARPA Urban Challenge)

## Core Business
- **Primary industry**: Autonomous vehicle technology / Trucking & freight logistics
- **Target customers**: B2B – large fleet operators and trucking companies (middle-mile hub-to-hub routes over 250 miles)
- **Mission or purpose statement**: “Drive the future of freight” by commercializing safe, self-driving trucks

## Products & Services
- **Torc Self-Driving Software**: Full-stack autonomy system (perception, planning, control) for SAE Level 4 operation, integrated into the Daimler Truck Freightliner Cascadia platform.
- **Autonomous-Ready Cascadia**: A redundant chassis with fail-safe steering, braking, power net, and secondary communications network built by Daimler Truck.
- **Testing & Validation**: Closed-course and public-road testing in Virginia, Texas, New Mexico, and 20+ U.S. states over the past 14 years.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (private subsidiary of Daimler Truck)
- **Key Metric**: Commercial launch targeted for **2027**; first driverless (no safety driver) journey completed in **2025**. Acquired Algolux (Montréal) in 2023 for computer vision and ML expertise.
- **Notable Investors/Partners**: Daimler Truck (parent/owner), AAA (safety partnership), Transdev (shuttle partnership), Virginia Tech Transportation Institute, and major fleet operators.
- **Growth Signals**: Expanding into Canada (Montréal office); headcount growing with 54 open positions posted on Greenhouse; Daimler Truck is building production-ready autonomous Cascadia chassis; years of real-world testing.

## Competitive Advantages
- **Deep truck OEM relationship**: As an independent subsidiary of Daimler Truck, Torc has direct integration into the leading Class 8 truck platform (Freightliner Cascadia).
- **20-year legacy**: Founded in 2005 from DARPA Urban Challenge roots; one of the first AV software companies to focus exclusively on trucking.
- **Safety-first design**: Redundant steering, braking, and communications, plus a partnership with AAA on safety criteria.
- **Focused product**: Targets only highway middle-mile (250+ miles), avoiding complex city driving – a clear, commercially viable use case.

## Strategic Focus
- **Commercialization**: First market-ready generation of self-driving trucks on sale in **2027**. Currently validating the system on public roads with safety drivers.
- **Scaling operations**: Expanding engineering centers (Montréal, Ann Arbor, Fort Worth) and building a robust data/ML pipeline at petabyte scale.
- **Talent development**: Growing “Emerging Talent” program (co-ops, internships, early career) and partnerships with educational institutions.

## Why Work Here
- **Culture**: Described as collaborative, ego-free, and innovative. “Everyone is empowered to solve challenges.” Open forums and accessible leadership.
- **Remote/Hybrid**: Multiple remote positions available (U.S. and Canada), plus on-site roles in Blacksburg, Ann Arbor, Fort Worth, and Montréal.
- **Benefits (U.S.)**:
  - 100% company-paid employee premiums for medical, dental, vision
  - Generous front-loaded PTO, plus a winter shutdown (Christmas–New Year)
  - Fully paid parental leave (100% salary continuation)
  - 401(k) with company match, LTD/STD, life insurance, pet insurance, legal services
- **Benefits (Canada)**: Extended health/dental/vision, RRSP with DPSP matching, employer-paid life/AD&D, LTD.
- **Engineering culture**: Work on cutting-edge autonomy, perception, ML, and data infrastructure alongside world-class experts.

## Sources
1. [torc.ai/about-us](https://torc.ai/about-us/)
2. [torc.ai/careers](https://torc.ai/careers/)
3. [torc.ai/frequently-asked-questions](https://torc.ai/frequently-asked-questions/)
4. [job-boards.greenhouse.io/torcrobotics](https://job-boards.greenhouse.io/torcrobotics)

## Other roles at Torc Robotics

- [Senior, Machine Learning Engineer - Camera Model](https://feeny.ai/job/senior-machine-learning-engineer-camera-model-torc-robotics-canada-montreal-rhk7bstzxprk) — Canada Montreal, Canada
- [Senior Systems Integration Engineer](https://feeny.ai/job/senior-systems-integration-engineer-torc-robotics-ann-arbor-96ah5ytgs7hm) — Ann Arbor, MI / Forth Worth, TX / Blacksburg, VA
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