Senior Machine Learning Engineer - Mapping

About the role

For our client, we are seeking a Senior Machine Learning Engineer - Mapping to join the team of a leader in the Manufacturing & Automotive space. This role will focus on advancing geospatial mapping capabilities that support map reconstruction, maintenance, and quality at scale. You will develop machine learning and computer vision solutions that help detect change, extract features, and improve the accuracy of lane-level road data. In partnership with cross-functional teams, you will also help ensure geospatial pipelines integrate cleanly into production workflows and data contracts. Location: Remote - US based candidates only, no visa sponsorship available

Responsibilities

• Design and implement mapping algorithms for map reconstruction and maintenance
• Build and evolve geospatial data models for lane-level connectivity and road networks
• Develop large-scale geospatial pipelines for processing sensor-derived road data
• Apply machine learning and computer vision models for feature extraction and map change detection
• Build automated quality and validation systems to catch map defects before release
• Collaborate with cross-functional teams on data contracts and integration points
• Diagnose and resolve system-level issues in geospatial data pipelines and production workflows

Qualifications

• 3+ years of software engineering experience focused on mapping and geospatial algorithms
• Strong foundation in geospatial and computational geometry concepts
• Experience designing geospatial data models for map structures
• Hands-on experience with machine learning or computer vision workflows in production
• Proficiency in Python and C++
• BS or MS in Computer Science, GIS, Electrical Engineering, Robotics, or equivalent experience

Benefits

• Variety of health and wellbeing benefit programs, including medical, dental, and vision
• Retirement savings plan and life insurance options
• Paid vacation and holidays, plus sick leave benefits
• Tuition assistance programs to support continuing education
• Employee assistance program for personal support
• Employee vehicle discounts

Pay

$170,600 – $261,300 annually