Senior, Machine Learning Engineer - Camera Model
Torcrobotics · Remote - U.S
About this role
**Senior, Machine Learning Engineer - Camera Model** **About the Company** At Torc, we believe 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 its solutions with experienced partners. Now part of the Daimler family, we focus solely on developing software for automated trucks to transform how the world moves freight. **Meet the Team** As a Senior Machine Learning Engineer - Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data. Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments. **What You’ll Do** - Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding) - Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment - Write production-quality ML code to support scalable training, evaluation, and inference pipelines - Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization - Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking - Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases - 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 within the team - Mentor junior engineers on implementation, debugging, and best practices **What You’ll Need to Succeed** - 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 (details truncated in provided description)
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