Staff Machine Learning Engineer - Mapping

Job Listing ID:

4450714

Job Title:

Staff Machine Learning Engineer -

Mapping Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

03/10/2026

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization. What You'll Do (Responsibilities) Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals). Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment. Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability. Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems. Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points. Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams. Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows. Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization. Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org. Minimum Qualifications (Must-Have) 5+ years of experience building and deploying machine learning or computer vision systems in production environments. Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models. Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus. Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation. Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence. BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience. Strong systems thinking - ability to reason about end-to-end ML systems, not just individual models. Preferred Qualifications (Nice-to-Have) Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile ...

Job Classification:

Software Developers Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A