Machine Learning Engineer, II - 3D Perception

Torc Robotics; United States; Hybrid; USD 153,000 - 184,000; Full time

Benefits offered by this job

Competitive compensation package

Stock options

Full medical/dental/vision benefits

401K with company match

Flexible schedule & paid vacation

Job summary

Torc Robotics is seeking a Machine Learning Engineer II – 3D Perception to advance BEV perception and production ML solutions for autonomous trucks. You will design and deploy models, write production Python/PyTorch code, and collaborate with software and autonomy teams to improve system performance.

The role emphasizes cross-functional collaboration, mentorship of junior engineers, and contribution to training pipelines and tooling in a hybrid/remote-ready environment in the United States.

Qualifications

• Bachelor's degree with 3+ years of relevant industry experience or Master's with 1+ year.
• Experience developing ML models for computer vision, perception, robotics, or autonomous systems.
• Strong Python and PyTorch skills with production-quality code.
• Experience training and evaluating deep learning models on large datasets.
• Experience with image-based and 3D perception systems.
• Solid understanding of DL architectures used in perception applications.
• Ability to debug models, analyze metrics, and improve models.
• Ability to work independently within defined problem areas and collaborate cross-functionally.

Responsibilities

• Design, develop, and improve ML models for Torc’s perception systems.
• Own model development from data prep through training, evaluation, and integration.
• Write production-quality Python and PyTorch code for scalable workflows.
• Analyze model performance and troubleshoot to improve robustness and generalization.
• Develop perception models using multi-modal sensor data (camera, LiDAR).
• Collaborate with software, infrastructure, and autonomy teams to deploy models.
• Contribute to training pipelines, data workflows, and experimentation tooling.
• Lead small initiatives and mentor junior ML engineers.
• Document technical work and design decisions for maintainability.

Skills

Python

PyTorch

Computer Vision

3D Perception

ML & Perception

Debugging

Cross-Functional Collaboration

Mentoring

Production ML Code

Education

Bachelor's degree (CS/Robotics/EE/ML)

Master's degree (CS/Robotics/EE/ML)

Tools

C++

ROS

BeV/BEV Perception Tooling

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, 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

Torc’s Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.

As a Machine Learning Engineer II – 3D Perception, you’ll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird’s Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc’s autonomy stack.

What You’ll Do

• Design, develop, and improve machine learning models supporting Torc’s perception systems.
• Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.
• Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.
• Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.
• Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
• Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.
• Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.
• Participate in model architecture discussions and contribute technical recommendations within the team.
• Lead small technical initiatives or model components with guidance from senior engineers.
• Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.
• Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 3+ years of relevant industry experience, OR Master’s degree with 1+ years of relevant experience, or equivalent practical experience.
• Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.
• Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.
• Experience training, evaluating, and improving deep learning models using large-scale datasets.
• Experience working with image-based and/or 3D perception systems.
• Solid understanding of deep learning architectures commonly used for perception applications.
• Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.
• Ability to independently execute complex machine learning work within well-defined problem areas.
• Experience collaborating cross-functionally to integrate machine learning models into larger software systems.
• Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.

Bonus Points

• Experience developing perception systems for autonomous driving, robotics, or ADAS.
• Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.
• Experience with temporal perception models or video-based learning.
• Experience with C++, ROS, or robotics software development.
• Experience deploying machine learning models into production autonomy or robotics platforms.
• Experience working with large-scale perception datasets and distributed training environments.
• Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.
• Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.
• Experience leading a small technical initiative or owning a production ML component from development through deployment.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX 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 teammembersand 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 bonuscomponentand 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

At Torc,we’recommitted to building a diverse and inclusive workplace. We celebrate the uniqueness of ourTorc’rsand 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.Dependenton 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: 102882

Hiring Range for Job Opening

US Pay Range

$153,200—$183,800 USD