Remote Senior, ML Engineer - 3D Reconstruction

Description:

• Design, implement, test, and deploy offline 3D reconstruction and mapping modules for high-quality annotations from sensor data.
• Build and refine lane line annotation pipelines using machine learning models.
• Develop pose estimation algorithms for accurate localization and 3D scene reconstruction.
• Lead projects and mentor team members in project execution.
• Stay updated on AI and ML developments in autonomous driving and mapping.
• Manage data ingestion, preparation, and governance for analytics models.
• Measure and track quality of auto-labeling and map creation.
• Provide technical guidance and develop standards for analytics and ML models.

Requirements:

• Bachelor’s or Master’s Degree in Computer Science, Robotics, Electrical Engineering, or related field with relevant experience (6+ years for Bachelor’s, 3+ years for Master’s).
• Experience in lane line annotation and automatic mapping.
• Familiarity with machine learning models for lane line detection and pose estimation.
• Skills in 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, and MLOps.
• Proficiency in Python and experience with distributed ML frameworks (e.g., PyTorch).
• Knowledge of data curation tools and cloud-based development environments.

Benefits:

• Competitive compensation package with bonus and stock options.
• 100% paid medical, dental, and vision premiums for full-time employees.
• 401K plan with a 6% employer match.
• Flexible schedule and generous paid vacation.
• Company-wide holiday office closures.
• AD+D and Life Insurance.