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Added 3 mins ago
LD
Senior Supply Chain Analyst
Leonardo DRS, Inc.
Germantown, MD
- $83,552 to $108,618 USD / year
DRS RADA Technologies, a subsidiary of Leonardo DRS, is focused on proprietary radar solutions and legacy avionics systems supporting the defense industry globally. The company is a global…
Added 9 mins ago
DI
Engineering and Maintenance Manager
DWYER INSTRUMENTS, LLC
Wolcott, IN
- $120,000 to $140,000 USD / year
Reports to: Plant Manager Department: Engineering and Maintenance | Work arrangement: On-site
Added 11 mins ago
Manufacturing Engineering Manager
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Camarillo, CA
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Added 14 mins ago
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Tampa, FL
- $150,000 USD / year
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Added 16 mins ago
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Added 17 mins ago
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Added 17 mins ago
Senior Software Engineer, Network Platform Security
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Added 17 mins ago
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Added 19 mins ago
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Lead Building Maintenance
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Breckenridge, CO
- $23 to $30.61 USD / hour
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Added 21 mins ago
Hardware Architecture Manager
Ford Global
Dearborn, MI
Executive influence: Partner with Vehicle Architecture, Vehicle Engineering, Program Leadership, and Underbody Systems leadership. Negotiate trade-offs among cost, weight, timing,…
Added 22 mins ago
Lead HRSG Application Engineer
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Added 22 mins ago
Lead Field Service Engineer – Drives
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Unspecified, CT
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Added 22 mins ago
Lead Field Service Engineer – Automation
GE Vernova
Unspecified, CT
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Added 22 mins ago
Site Quality Lead / Staff Quality Engineer
ThermoFisher Scientific
Guilford, CT
Bachelor's degree in Engineering, Life Sciences, or related scientific discipline.
Added 22 mins ago
Sr HSE Engineer
Honeywell Technologies
Northford, CT
…directing the organization's health, safety, and environmental engineering efforts. You will ensure the highest standards of health and safety for employees, compliance with environmental…
Added 22 mins ago
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Senior Energy Engineer
Siemens
Cromwell, CT
- $92,589 to $158,725 USD / year
Analyze blueprints and perform site surveys to identify mechanical, electrical, and control systems to determine facility operational characteristics and apply building energy simulation…
Added 22 mins ago
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Butler America
Cheshire, CT
…work instructions. This role works closely with Operations, Engineering, Quality, and other support teams to resolve production issues, maintain product quality, and support safe, reliable…
Added 22 mins ago
Manufacturing Operations Technician - 2nd Shift
Butler America
Cheshire, CT
…work instructions. This role works closely with Operations, Engineering, Quality, and other support teams to resolve production issues, maintain product quality, and support safe, reliable…
Added 22 mins ago
Executive Director Digital Product Growth and Membership
CVS Health
Remote, United States
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Added 22 mins ago
IT Lead Developer, SAP Solutions (Hybrid)
Eversource Energy
Berlin, CT
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Added 22 mins ago
IT Lead Developer, SAP Applications (Hybrid)
Eversource Energy
Berlin, CT
Bachelor’s degree in information systems, Computer Science, Finance, Accounting, Business Administration, Engineering, or a related field, or equivalent practical experience.
Added 22 mins ago
2027 Gas Project Engineering Co-op
Eversource Energy
Berlin, CT
Project & Field Engineering: A Co-op or Intern supporting the Gas Project Engineering team would gain hands-on exposure to the planning, design, construction, and operation of critical…
Added 22 mins ago
Research General Engineer
U.S. Coast Guard
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…remote sensing, machine learning, computer vision, control systems, uncrewed systems, advanced networking, test engineering, and integration of autonomy into legacy or emerging systems.…
Added 22 mins ago
Secure System Engineering Intern (Summer 2027)
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You are the kind of engineering student who can’t help pulling things apart to see exactly how they work. You're probably involved in cybersecurity and coding clubs, understand the term…

General Motors

Staff Machine Learning Engineer - Mapping

Bismarck, ND, United States

The salary range for this role: is $185,100 to $335,300.

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Job details

Pay: The salary range for this role: is $185,100 to $335,300.
Experience: 5+ years of experience building and deploying machine learning or computer vision systems in production environments.
Posting language: English
Posted: Mar 7, 2026

Original job description

Remote/Hybrid

Remote - United States

Remote - Washington

Austin, Texas, United States of America

Sunnyvale, California, United States of America

San Francisco, California, United States of America

Warren, Michigan, United States of America

Full time

JR-202602984

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 robotics.
Hands-on experience with 3D perception, BEV representations, or multi-view geometry.
Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios).
Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
Exposure to simulation-based validation, synthetic data, or map change detection workflows.
Experience mentoring senior engineers or acting as a technical lead across multiple teams.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (avature.net) (https://generalmotors.avature.net/en_US/TalentCommunity/Register) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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More about this job

Skills

Machine learning
ML
Data mining
Robotics
Python
C++
Computer science
Electrical engineering
Systems thinking
Coaching

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