ML Engineer, II – Camera Models

Torc Robotics

full-time

Posted on: 3/19/2026

Location Type: Remote

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About the role

Develop and train deep learning models for camera-based perception, enabling the autonomy stack to detect objects, understand scenes, and estimate geometric information from visual inputs.
Implement production-quality machine learning code to support model training, evaluation, and inference for camera perception systems.
Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization.
Contribute to the development and optimization of large-scale training pipelines, including dataset preparation, distributed training, and experiment management.
Work closely with data teams to curate and improve training datasets derived from fleet logs, simulation, and annotation pipelines.
Collaborate with cross-functional teams across perception, simulation, and validation to evaluate model performance and support integration into the autonomy stack.
Improve experimentation workflows and tooling to accelerate model iteration, reproducibility, and evaluation.
Contribute to discussions on model architecture, training strategies, and perception system design.

Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience.
Experience developing machine learning or 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 machine learning models using large datasets and scalable compute environments.
Understanding of modern deep learning architectures used in perception systems, such as CNNs, transformers, or multi-task learning models.
Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

deep learningmachine learningcomputer visionPythonPyTorchCNNstransformersmulti-task learningmodel evaluationdataset preparation

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingcreativityadaptabilityattention to detailteamworkcritical thinkingtime management