Senior ML Engineer – 3D Reconstruction

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Design, develop, test, and deploy offline 3D reconstruction, lane line detection, and automated mapping/map creation modules utilizing logged data from cameras, lidar, radar, and GPS/IMU sensors.

• Construct and enhance lane line annotation workflows with machine learning models to streamline and scale map generation.

• Create and optimize pose estimation algorithms for localization, sensor fusion, and 3D scene reconstruction.

• Lead project initiatives and mentor less experienced team members.

• Independently create offline perception and mapping models and algorithms following disciplined software development practices.

• Define and manage the ingestion, preparation, curation, and governance of extensive, multifaceted datasets.

• Evaluate capabilities and suggest enhancements that align with strategic goals and operational needs.

• Measure and monitor the quality of auto-labeling and map generation.

• Produce informational products that support data visualization and accessibility.

• Assess technological advancements that can enhance productivity, quality, flow times, and operational reliability.

• Develop guidelines and standards for machine learning models, their deployment, and related processes.

• Provide technical direction, leadership, coaching, and mentoring.

⛳️ Requirements

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related technical discipline, typically supplemented by 6+ years of experience, OR a Master’s Degree in a similar technical area with 3+ years of experience.

• Proven experience in lane line annotation creation or automated mapping/map generation.

• Knowledge of lane line detection and creation machine learning models.

• Familiarity with pose estimation techniques.

• Experience with active learning, pseudo-labeling, computer vision, deep learning, and model training.

• Proficiency in at least two of the following: 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, and BEV.

• Experience with scaled MLOps and associated tools, including ML frameworks, experiment tracking, model registry, MLflow, Weights and Biases, and ML metrics/evaluation/quality.

• Experience with distributed machine learning frameworks like PyTorch, Lightning, and Ray.

• Skills in model data curation and Parquet data processing using PyArrow, Daft, Pandas, or similar tools.

• Proficiency in Python software development.

• Familiarity with VDI and cloud-based development environments, CI systems such as GitHub Actions, and Docker.

• Ability to perform complex tasks with minimal supervision and exercise independent judgment.

• Capacity to foster alignment, own technical solutions, build consensus, and mentor engineers.

• PPK/RTK GPS experience and GIS knowledge are advantageous qualifications.

🏝️ Benefits

• A competitive compensation package including a bonus component and stock options.

• Full coverage of medical, dental, and vision premiums for full-time employees.

• 401K plan featuring a 6% employer match.

• Flexible scheduling and generous paid vacation available immediately upon start date.

• Company-wide holiday office closures.

• AD+D and Life Insurance coverage.

• Potential sign-on bonuses, relocation assistance, and other compensation options based on the position offered.