Machine Learning Engineer, II – 3D Perception

Torc Robotics

Machine learning engineer advancing BEV and 3D perception models for Torc’s autonomous trucks. Building production ML systems with Python and PyTorch.

Posted 8/11/2026full-timeRemote • Missouri, Texas, Virginia • 🇺🇸 United StatesJunior💰 $153,200 - $183,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing and improving machine learning models for perception systems, with strong proficiency in Python and PyTorch. Capable of analyzing model performance and collaborating cross-functionally to integrate solutions into production software.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingPyTorch FrameworkComputer Vision ExpertiseDeep Learning Architecture Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel EvaluationData PreparationDeep LearningImage-Based Perception3D Perception SystemsPerformance AnalysisTroubleshootingModel IntegrationTechnical Documentation

Soft Skills

Problem-SolvingCollaborationMentoring

Tools & Technologies

LiDARSensor FusionPoint Cloud ProcessingROSDistributed TrainingML ToolingPerception Evaluation Frameworks

Industry Keywords

Autonomous SystemsRoboticsADAS Perception Systems

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

Design, develop, and improve machine learning models supporting Torc's perception systems
Own model development and delivery for defined perception problem areas, from data preparation and training through evaluation and integration
Write production-quality Python and PyTorch code for scalable training, evaluation, and inference workflows
Analyze model performance, identify failure modes, and troubleshoot issues to improve robustness, accuracy, and generalization
Develop and evaluate perception models using multi-modal sensor data, especially camera-based and 3D perception systems
Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production software systems
Improve training pipelines, data workflows, experimentation tooling, and developer workflows
Participate in model architecture discussions and provide technical recommendations
Lead small technical initiatives or model components with guidance from senior engineers
Support and mentor Machine Learning Engineer I team members
Document technical work, evaluation results, and design decisions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or 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, including 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 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 in an environment with evolving technical challenges and requirements
Bonus: experience with autonomous driving, robotics, or ADAS perception systems
Bonus: experience with LiDAR, point cloud processing, sensor fusion, BEV representations, temporal perception models, video-based learning, C++, ROS, robotics software development, production ML deployment, distributed training, perception evaluation frameworks, ML tooling, or technical initiative ownership

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
Generous paid vacation available immediately after start date
Company-wide holiday office closures
AD+D and Life Insurance
Potential sign-on payments, relocation, and other forms of compensation depending on the position offered
Medical, financial, and other benefits