This role pays less than
60%
of similar roles. Most pay
$202,800–$254,750
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About General Motors (GM)
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has
112 open roles
on FindRole.
Listed pay typically runs
$165,400–$261,300
across 58 roles with salary data.
Senior Machine Learning Engineer - Mapping joins the Mapping organization to build national-scale, next-generation mapping systems that move beyond static maps toward automated, algorithmic, and ML-assisted reconstruction pipelines powered by onboard sensor data. This role involves designing and building algorithms for map reconstruction and maintenance, including lane extraction, road network graph construction, and topology validation. The engineer will develop geospatial data models, build distributed pipelines to process multi-modal sensor data into production releases, and apply machine learning and computer vision models like 3D reconstruction and BEV representations to automate feature extraction. Key technical requirements include proficiency in Python and C++, expertise in computational geometry, and experience with large-scale distributed systems for geospatial data. The role solves critical problems in localization, perception, and simulation by ensuring the geometric and topological correctness of map primitives before they reach the vehicle.
What does a Machine Learning Engineer earn in California?
Median $241375 from 174 postings across 27 companies.