Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 36 mins ago
Senior Software Engineer, Agentic Automations, Connect Sales AI, Google Ads
Google
Mountain View, CA
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 36 mins ago
Senior Software Engineer, Machine Learning, Discover Interest Modeling
Google
Mountain View, CA
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), Recommender Systems, deep learning, or personalization.
Added 1 hour ago
Senior Staff Software Engineer, AI/ML, Multimodal Rich Features
Google
Mountain View, CA
5 years of experience leading design for machine learning products and optimizing systems that incorporate machine learning.
Added 1 hour ago
Senior Software Engineering Manager, AI/ML
Google
San Francisco, CA
7 years of experience leading technical project strategy, ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine…
Added 2 hours ago
Global AI Transformation & Solutions Lead
AFRY
Appleton, WI
…across areas such as MES, digital twins, process modelling, machine learning and industrial…
Added 2 hours ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
…capabilities, actuarial modeling environments, and end-to-end machine learning development and…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 3 hours ago
J
Senior Machine Learning Engineer, Inference
Jobgether
Remote, United States
- $250,000 to $300,000 USD / year
…all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Inference based in the United…
Added 3 hours ago
DO
Engineer, Water Resources
Department of Water Resources
CA
- $6,488 to $12,152 USD / month
Under the supervision of a Senior Engineer, Water Resources in the Central Valley Modeling Section of the Modeling Support Office, is responsible for developing and maintaining present and…
Added 3 hours ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
…visualization, governance, engineering, AI engineering, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future-forward data-enabled…
Added 3 hours ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains,…
Added 4 hours ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
…bring your pioneering spirit to our collaborative teams. As a Machine Perception (MP) Engineer – Level 6 located in Dulles, VA, or Gilbert, AZ , you’ll be a linchpin in missions of…
Added 4 hours ago
Lead Application Engineer
Deliberately.ai
San Francisco, CA
We are looking for a Lead Application Engineer to join our team and lead the development of key projects across our application. This senior-level role requires someone who can…
Added 4 hours ago
Senior/Staff Software Engineer [Full Stack]
Prudentia Sciences
Boston, MA · New York, NY
We're seeking an exceptional Senior/Staff Software Engineer to build and lead our core platform as we scale. This is a rare opportunity to join a high-impact technology company in a major…
Added 4 hours ago
Senior Quantum Platform Engineer
Quanta Standard Inc
Washington, DC · Arlington, VA · Alexandria, VA
Quanta Standard Inc. is seeking a highly skilled and experienced Senior Quantum Platform Engineer to join our team. This role requires a minimum of 8 years of experience in similar roles…
Added 4 hours ago
AR
Mid/Senior Level Robotics Software Engineer
AlphaOne Robotics
Dallas, TX
- $100,000 to $150,000 USD / year
Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) and models (eg. Yolo) for robotics applications like perception or decision-making.
Added 5 hours ago
RS
Software Engineer - Full Stack/Backend
Reframe Systems
Boston, MA
- $150,000 to $190,000 USD / year
We’re seeking a Software Engineer to design and build full-stack applications that support our manufacturing operations. You’ll work with cloud-native services, data pipelines, IoT devices,…
Added 5 hours ago
Senior Principal Software Engineer (Python) – Founding Engineer - Seattle
Solvin AI
WA · Seattle, WA
Design, build, and maintain the infrastructure for our AI and machine learning models.
Added 5 hours ago
Senior Data Engineer
Marble Technologies
Lincoln, NE · Omaha, NE · Cambridge, MA
As a Senior Data Engineer at Marble, you will own the design and performance of data pipelines that power everything from real-time classification dashboards to ML training datasets to…
Added 5 hours ago
Senior Generative AI Engineer / Architect
Cinter Career
Plano, TX
We are seeking an experienced and hands-on Senior Generative AI Engineer / Architect to design, develop, and implement innovative AI and machine learning solutions. This role focuses on…
Added 5 hours ago
Senior Machine Learning Engineer
Casap
San Francisco, CA
Casap is looking for a talented Machine Learning Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and…
Added 5 hours ago
M
Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
AI Strategy & Architecture: Set direction for AI-native security experiences and platform components, LLMs vs classical Machine Learning (ML), Retrieval-Augmented Generation (RAG) design,…
Added 5 hours ago
M
Principal Software Engineer - AI Infrastructure
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
3+ years building machine learning training infrastructure, such as Graphics Processing Unit (GPU) cluster scheduling, data pipelines, and checkpointing and storage systems, using…
Added 5 hours ago
Computer Vision Algorithm Engineer
US Tech Solutions
Bridgewater, NJ
information retrieval, machine learning, media processing, and related fields

Closed listing

General Motors

Staff Machine Learning Engineer - Mapping

Jackson, MS, United States

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

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

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

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

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.

About employer

More about this job

Skills

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

Report this job