Senior, ML Engineer - 3D Reconstruction

Job description

Job responsibilities

• Design, implement, test and deploy offline 3D reconstruction, lane line detection, and automatic mapping/map creation modules to generate high-quality annotations on Cloud Services from logged sensor data (Cameras,…
• Build and refine lane line annotation pipelines, applying the latest lane line detection and creation machine learning models to automate and scale map creation.
• Develop and improve pose estimation algorithms to support accurate localization, sensor fusion, and 3D scene reconstruction.
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
• Stay up to date with the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping.
• Independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version…
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
• Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.

Job requirements

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR;
• Required Qualifications (some combination of the following skills): Experience in lane line annotation creation or automatic mapping/map creation.
• Familiarity with the latest lane line detection and creation machine learning models.
• Familiarity with pose estimation.
• Active Learning & Pseudo-labeling – Computer Vision, Deep Learning, Model training.
• Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.