Senior Machine Learning Engineer – Camera Model

Torc Robotics

. Develop and deploy deep learning models for camera-based perception, including object detection, segmentation, depth estimation, and scene understanding .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $177,300 - $212,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying deep learning models for camera-based perception, with strong programming skills in Python and PyTorch. Capable of analyzing model performance and collaborating cross-functionally to integrate models into autonomy systems.

Highest-signal resume keywords

Deep Learning Model DevelopmentPython ProgrammingPyTorch FrameworkModel Performance AnalysisCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningComputer VisionModel EvaluationData CurationDistributed TrainingLarge-Scale DatasetsModern Deep Learning ArchitecturesDebuggingPerformance Metrics AnalysisML Code Production Quality

Soft Skills

Problem SolvingMentoringCollaboration

Tools & Technologies

RayExperiment Management FrameworksCamera Calibration3D Perception

Industry Keywords

Autonomous DrivingRoboticsSimulation-Based ML SystemsMulti-Task LearningUnified Perception Architectures

Tech Stack

Tools & technologies

PythonPyTorchRay

About the role

Key responsibilities & impact

Develop and deploy deep learning models for camera-based perception, including object detection, segmentation, depth estimation, and scene understanding
Own end-to-end model development from data curation and training to evaluation and deployment
Write production-quality ML code for scalable training, evaluation, and inference pipelines
Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
Contribute to large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
Partner with data teams to improve dataset quality, labeling strategies, and edge-case coverage
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
Mentor junior engineers on implementation, debugging, and 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 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, such as CNNs, transformers, and 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: Experience in autonomous driving, robotics, or simulation-based ML systems
Bonus: Experience with multi-task learning or unified perception architectures
Bonus: Experience with large-scale data pipelines, distributed training systems such as Ray, or experiment management frameworks
Bonus: Familiarity with camera calibration, geometric reasoning, or 3D perception from images, such as BEV, monocular depth, and structure-from-motion
Bonus: Experience deploying ML models into production or real-world robotics 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
Potential sign-on payments, relocation, and other forms of compensation may be provided as part of the total compensation package