Senior Machine Learning Engineer – 3D Perception

Torc Robotics

Senior Machine Learning Engineer focused on advancing 3D perception capabilities for autonomous vehicles. Joining Torc Robotics, a leader in autonomous truck technology, to innovate perception systems.

Posted 7/21/2026full-timeAnn Arbor • Missouri, Texas, Virginia • 🇺🇸 United StatesSenior💰 $177,300 - $212,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying production machine learning models, particularly for perception systems in autonomous applications. Proficient in Python and PyTorch, with a strong focus on model performance analysis and collaboration across engineering teams.

Highest-signal resume keywords

Production Machine Learning Model DevelopmentPython ProgrammingPyTorch FrameworkDeep Learning ArchitecturesComputer Vision and Perception Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel EvaluationData PreparationDeep LearningModel DebuggingPerformance Metrics Analysis3D PerceptionImage-Based PerceptionModel Architecture DesignScalable Training Workflows

Soft Skills

CollaborationMentoringProblem SolvingIndependent Delivery

Industry Keywords

Autonomous SystemsRoboticsComputer VisionPerception SystemsMulti-Modal Sensor Data

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Design, develop, and deploy production machine learning models supporting Torc's perception systems.
Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.
Write production-quality ML code to support scalable training, evaluation, and inference workflows.
Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.
Develop and optimize 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 production autonomy software.
Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.
Contribute to model architecture discussions and technical decision-making within the team.
Mentor junior engineers on implementation, experimentation, and machine learning best practices.

Requirements

What you’ll need

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 Ph.D. with 1+ years of experience.
Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.
Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
Experience training, evaluating, and improving deep learning models using large-scale datasets.
Experience working with image-based and/or 3D perception systems.
Strong understanding of deep learning architectures commonly used for perception applications.
Experience debugging model behavior, analyzing performance metrics, and improving model reliability.
Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver results independently.
Experience collaborating cross-functionally to integrate ML models into larger software systems.

Benefits

Comp & perks

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