Senior, ML Engineer

About the role

You will design, implement, test, and deploy offline modules for 3D reconstruction, lane line detection, and automatic mapping to generate high-quality annotations on cloud services from logged sensor data. You will build and refine lane line annotation pipelines by applying the latest machine learning models to automate and scale map creation for downstream perception and simulation teams. You will develop and improve pose estimation algorithms to support accurate localization, sensor fusion, and 3D scene reconstruction in support of automated truck workflows. You will demonstrate project management skills by serving as project lead, guiding less experienced team members across multiple facets of project execution while mentoring and coaching them. You will stay up to date with the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping to ensure solutions remain cutting edge. You will independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or reusing existing code, implementing version control, and maintaining documentation of created applications. You will define and implement the ingestion, data preparation, curation, and governance of large, multi-faceted data sets that support analytics models and workflows. You will proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operational goals.

Key facts

What you'll do

• 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, Lidars, Radars, GPS/IMU).
• 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 control, and maintaining documentation of created applications.
• 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.
• Measure and track auto-labeling and map creation quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
• Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

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. Mentors and guides engineers within the group.
• 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;
• Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience.
• Demonstrated experience with at least one modern programming language such as C++, Python, or Java.
• Demonstrated experience with modern software development practices including source control, testing, and CI/CD.
• Demonstrated experience with data processing pipelines and associated tooling.
• Demonstrated experience with machine learning frameworks and model development.
• Demonstrated experience with cloud platforms and associated deployment patterns.
• Demonstrated experience with sensors and perception relevant to autonomous vehicles.

Nice to have

• Experience with automated mapping and lane line detection in autonomous vehicle applications.
• Experience with pose estimation and 3D reconstruction.
• Experience with data governance and quality measurement for large data sets.
• Experience providing technical guidance or leadership to cross-functional teams.

Practical notes

• Location details: Ann Arbor, MI, Remote
• US.