Senior, ML Engineer - 3D Reconstruction
Torc Robotics2 months ago
Base Salary
$177k - $213k/yr
Responsibilities
- Design, implement, test, and deploy offline 3D reconstruction, lane-line detection, and automatic mapping modules on cloud services using logged sensor data.
- Build and refine lane-line annotation pipelines using machine learning models to automate and scale map creation.
- Develop pose estimation algorithms for localization, sensor fusion, and 3D scene reconstruction.
- Lead projects, guide less experienced team members, and provide technical leadership, coaching, and mentoring.
- Develop offline perception and mapping models and algorithms while maintaining version control, documentation, and disciplined software development practices.
- Define ingestion, data preparation, curation, and governance processes for large datasets supporting analytics models and workflows.
- Measure auto-labeling and map-creation quality, identify improvement opportunities, and recommend technical advances that improve productivity and operational quality.
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
- Produce information products that support visualization and data accessibility for internal customers.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field plus typically 6+ years of experience, or a master’s degree in one of these fields plus typically 3+ years of experience.
- Experience with lane-line annotation creation or automatic mapping/map creation.
- Familiarity with lane-line detection and creation machine learning models and pose estimation.
- Experience with active learning, pseudo-labeling, computer vision, deep learning, and model training.
- Experience with at least two of 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, or BEV.
- Experience with scaled MLOps and tooling, including experiment tracking, model registries, ML metrics, and evaluation quality.
- Experience with distributed machine learning frameworks such as PyTorch, Lightning, or Ray.
- Experience processing Parquet data with tools such as PyArrow, Daft, or Pandas.
- Proficiency in Python software development, VDI and cloud-based development environments, CI systems such as GitHub Actions, and Docker.
- PPK/RTK GPS or GIS experience is a bonus qualification.
Benefits
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule and generous paid vacation available immediately after the start date.
- Company-wide holiday office closures.
- AD&D and life insurance.
- Full-time employees may receive bonus and stock option benefits as part of the compensation package.
Categories
ML EngineeringRobotics
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.