Senior ML Engineer 3D Reconstruction

Skills

About the Role

You will design, implement, test, and deploy offline 3D reconstruction, lane-line detection, and mapping modules. You will develop pose-estimation and perception algorithms, build data pipelines, measure annotation quality, establish ML standards, lead projects, and mentor team members.

Requirements

• Bachelor's degree with 6+ years of experience, Master's degree with 3+ years, or PhD with 1+ years
• Lane-line annotation or automatic mapping
• Lane-line detection machine learning models
• Pose estimation
• Active learning
• Pseudo-labeling
• Computer vision
• Deep learning
• Model training
• 2D or 3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, or BEV
• MLOps
• ML framework
• Experiment tracking
• Model registry
• MLflow
• Weights and Biases
• PyTorch
• Lightning
• Ray
• Parquet
• PyArrow
• Daft
• Pandas
• Python
• GitHub Actions
• Docker

Responsibilities

• Design, implement, test, and deploy offline 3D reconstruction, lane-line detection, and automatic mapping modules
• Build and refine lane-line annotation pipelines
• Develop and improve pose-estimation algorithms for localization, sensor fusion, and 3D reconstruction
• Lead projects and guide less experienced team members
• Develop offline perception and mapping models and algorithms
• Define data ingestion, preparation, curation, and governance workflows
• Measure and track auto-labeling and map-creation quality
• Recommend technical advances that improve productivity and quality
• Develop standards for analytics and machine learning models and deployment processes
• Provide technical guidance, leadership, coaching, and mentoring

Benefits

• Bonus component
• Stock options
• 100% paid medical, dental, and vision premiums
• 401K plan with a 6% employer match
• Flexible schedule
• Generous paid vacation available immediately after start date
• Company-wide holiday office closures
• AD+D insurance
• Life insurance