Machine Learning Engineer II – Roads and Lanes
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 lane detection using monocular and multimodal sensor data (cameras, LiDARs, and radars).
- Design 3D road surface models and lane geometry in bird's-eye view (BEV) space, and integrate them into Torc's autonomy pipeline.
- Analyze model performance, identify corner cases, and improve robustness across various environmental conditions and long-tail scenarios.
- Develop and optimize large-scale data processing workflows, including annotation, pseudo-labeling, and data augmentation.
- Implement adaptive training and evaluation pipelines for lane perception models.
- Own deployment work to optimize models for real-time execution on automotive-grade hardware.
- Leverage known SD and HD maps to improve the accuracy and stability of lane estimation.
- Contribute to architecture 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 at least 4 years of experience, or a Master's degree with at least 2 years of experience.
- 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 with Python and PyTorch, with experience writing production-quality ML code.
- Experience training models on large datasets and using scalable compute environments.
- Understanding of relevant ML architectures such as CNNs, transformers, and BEV perception networks.
- Ability to analyze model performance metrics, debug failure cases, and iterate effectively.
- Ability to work with autonomy, perception, and software engineering teams.
Benefits
- Competitive compensation package including bonuses and stock option grants.
- Medical, dental, and vision coverage for full-time employees.
- Registered Retirement Savings Plan (RRSP) with a 4% employer contribution.
- Public transit subsidy (Montreal region only).
- Flexible hours and generous paid vacation.
- Company-wide office closures during public holidays.
- Life insurance.
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 road surface modelingdata processing workflowsadaptive trainingmodel optimizationcamera calibrationPythonPyTorch
Soft Skills
analytical skillsproblem-solvingcollaborationcommunicationindependence
Certifications
Bachelor's degreeMaster's degree