ML Engineer, II – Road & Lane
Torc Robotics
full-time
Posted on:
Location Type: Remote
Location: Missouri • United States
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About the role
- Develop and train computer vision and deep learning models for road-lane detection using monocular and multimodal sensor data (camera, LiDAR, radar).
- Build 3D road surface and lane geometry models in BEV space and integrate them into Torc’s autonomy pipeline.
- Analyze model performance, identify corner cases, and improve robustness under diverse environmental and long-tail conditions.
- Develop and optimize large-scale data processing workflows, including annotation, pseudo-labeling, and data augmentation.
- Implement scalable training and evaluation pipelines for lane perception models.
- Own deployment-focused work to optimize models for real-time execution on automotive-grade hardware.
- Leverage SD and HD map priors to improve lane estimation accuracy and stability.
- Contribute to architectural discussions, model reviews, and system-level integration efforts.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field with 4+ years of experience, or a Master’s with 2+ years.
- Hands-on experience developing ML models for perception tasks such as lane detection, road surface modeling, multi-camera fusion, or related geometry estimation.
- Strong understanding of camera calibration, multi-sensor alignment, and projection between image and BEV spaces.
- Proficiency in Python and PyTorch, with experience writing production-quality machine learning code.
- Experience training models on large datasets and using scalable compute environments.
- Understanding of relevant ML architectures, such as CNNs, transformers, and BEV-focused perception networks.
- Ability to analyze model performance metrics, debug failure cases, and iterate effectively.
- Ability to work cross-functionally with autonomy, perception, and software engineering teams.
Benefits
- Health insurance
- Remote work options
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
computer visiondeep learninglane detection3D modelingdata processing workflowsmodel optimizationPythonPyTorchmachine learningCNNs
Soft Skills
analytical skillsproblem-solvingcross-functional collaborationcommunicationdebuggingiteration