Machine Learning Engineer, Embodied AI

General Motors

. Contribute to a well-defined mapping or geospatial engineering project with support from a mentor and team .

Posted 11/10/2026internshipSunnyvale • California • United StatesEntry Level💰 $9,600 - $11,800 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in Python and C++ programming for geospatial engineering projects, with a strong foundation in data structures, algorithms, and machine learning workflows. Capable of collaborating effectively within teams and communicating technical concepts clearly.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingGeospatial ComputingMachine LearningData Structures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Geometry ProcessingMap Data AnalysisAlgorithm PrototypingFeature ExtractionMap Change DetectionData Quality AnalysisSoftware TestingVersion ControlReadable Code WritingGraph Algorithms

Soft Skills

Collaborative WorkTechnical CommunicationProblem SolvingCuriosityTeam Learning

Tools & Technologies

GeoJSONOpenStreetMapGeoPandasGDAL/OGRPostGISCamera DataLidar DataRadar DataPoint-Cloud DataMachine Learning Workflows

Industry Keywords

Geospatial EngineeringRoboticsAutonomous VehiclesComputer VisionSpatial Data

Tech Stack

Tools & technologies

CloudPostGISPythonC++

About the role

Key responsibilities & impact

Contribute to a well-defined mapping or geospatial engineering project with support from a mentor and team
Write, test, and document Python and/or C++ code for geometry processing, map data analysis, or pipeline tooling
Explore road-network and map concepts, including lanes, intersections, boundaries, connectivity, and map attributes
Analyze sensor-derived or third-party map data and investigate data quality or map consistency issues
Prototype or evaluate algorithms and machine-learning approaches for feature extraction, map change detection, or map quality checks
Build or improve tests, validation tools, metrics, and visualizations to assess map data or software correctness
Share project progress, findings, and a final demo or summary with the mentor and teammates
Participate in code reviews, design discussions, and team learning activities
Collaborate with partner teams such as Perception, Localization, and Simulation

Requirements

What you’ll need

Currently pursuing a bachelor’s or master’s degree in Computer Science, Electrical Engineering, Robotics, GIS, or a related technical field
Experience programming in Python or C++ through coursework, research, internships, or personal projects
Familiarity with core software engineering practices such as version control, testing, and writing readable code
Foundational understanding of data structures and algorithms
Interest in geospatial systems, robotics, autonomous vehicles, computer vision, or machine learning
Ability to communicate technical ideas, ask questions, and work collaboratively
Coursework, research, or project experience in geospatial computing, computational geometry, robotics, computer vision, machine learning, or graph algorithms
Exposure to map or geographic data formats and tools such as GeoJSON, OpenStreetMap, GeoPandas, GDAL/OGR, or PostGIS
Experience working with camera, lidar, radar, point-cloud, or other spatial data
Experience with C++ and Python, or an interest in working across both languages
Familiarity with machine-learning workflows such as preparing datasets, evaluating models, or building prototypes
Prior internship, research, or team-project experience developing software collaboratively

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program
Paid U.S. GM holidays
GM Family First Vehicle Discount Program
Potential for growth within GM based on performance and business needs
Intern events and opportunities to network with company leaders and peers
Mentorship and hands-on experience with the data and ML foundations behind autonomy