Senior, ML Engineer - 3D Reconstruction
Torc Roboticsabout 3 hours 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.
- Develop offline perception and mapping models and algorithms using disciplined software development, version control, and documentation practices.
- Define ingestion, data preparation, curation, and governance for large datasets supporting analytics models and workflows.
- Measure auto-labeling and map-creation quality against internal customer requirements.
- Develop analytics and machine learning deployment guidelines and standards.
- Evaluate technical improvements to productivity and quality and provide technical guidance, coaching, mentoring, and project leadership.
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 creating lane-line annotations or automatic maps and familiarity with current lane-line detection and creation machine learning models.
- Familiarity with pose estimation and active learning, pseudo-labeling, computer vision, deep learning, and model training.
- Experience in at least two of 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, and BEV.
- Experience with scaled MLOps and tooling, including ML frameworks, experiment tracking, model registries, MLflow, Weights & Biases, and ML metrics and evaluation.
- Experience with distributed machine learning frameworks such as PyTorch, Lightning, or Ray.
- Experience with Parquet data processing using tools such as PyArrow, Daft, or Pandas.
- Proficiency in Python software development and familiarity with VDI, cloud-based development environments, CI systems such as GitHub Actions, and Docker.
- PPK/RTK GPS experience and GIS experience are bonus qualifications.
- Ability to work independently on complex work, own technical solutions, drive alignment, and mentor engineers.
Benefits
- Competitive compensation package with bonus component and stock options.
- 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 position.
About Torc Robotics
Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated trucks to improve the safety and efficiency of transporting goods. We are experts in providing autonomous vehicle solutions and we partner with other industry leaders to bring this new technology to work in the real world. Our mission is to drive the future of freight through safer roads and the efficient transport of critical goods. #TorcDriven #TorcRobotics