Remote jobs in the United States

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Added 1 day ago
Staff Software Engineer, Imitation Learning - Behavior Planning, Embodied AI
General Motors LLC
Remote, United States
…We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and…
Added 1 day ago
1
Security Engineer, GRC
1Password
Remote, United States
- $123,000 to $172,000 USD / year
…cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product…
Added 2 days ago
Principal Engineer, Autonomy Evaluation
General Motors LLC
Remote, United States
As a Principal Engineer in Autonomy Evaluation, you will own how we evaluate the autonomous driver, from overall driving behavior down to individual subsystems. You'll take on questions…
Added 5 days ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Applied machine learning, from data preparation and feature engineering through training, evaluating, and improving common models such as regression, decision trees, and ensembles.
Added 5 days ago
Sr. Firmware Engineer II
Samsara
Remote, United States
You will lead the development and deployment of next-generation intelligent safety features and video processing by integrating high-performance camera systems and real-time edge computing…
Added 6 days ago
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors LLC
Remote, United States
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…
Added 6 days ago
1
Engineering Manager, Infrastructure (Device Trust)
1Password
Remote, United States
- $192,000 to $278,000 USD / year
We are hiring an Engineering Manager to lead the Device Trust Platform team, the group responsible for the lower-level platforms that power 1Password Device Trust and that will, over time,…
Added 13 days ago
1
Senior IT Engineer, Identity and Access Management
1Password
Remote, United States
- $117,000 to $164,000 USD / year
As a Senior IT Engineer on the IT Engineering team, you’ll shape how identity and access work across 1Password. You’ll lead Identity and Access Management (IAM) initiatives, improve our…
Added 13 days ago
Staff Machine Learning Engineer, Ads Forecasting & Scenarios
Reddit
Remote, United States
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
Added 13 days ago
1
Staff Demo Engineer
1Password
Remote, United States
- $135,000 to $196,000 USD / year
- Travel quarterly, including cross-border travel, for conferences and company offsites
Added 19 days ago
Staff Machine Learning Engineer, Retrieval & Targeting
Reddit
Remote, United States
We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and…
Added 20 days ago
Senior Machine Learning Engineer, Premium Discovery
Scribd, Inc.
Remote, United States
We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations.
Added 22 days ago
Senior ML Systems Engineer
General Motors LLC
Remote, United States
Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling…
Added 24 days ago
Machine Learning Engineer, Answers Relevance
Reddit
Remote, United States
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky…
Added 26 days ago
IG
AI Engineer (Principal Level) - REMOTE
Insight Global
Remote, United States
- From $95 USD / hour
Our Healthcare Insurance Client is looking to hire a AI Staff Engineer. This position is remote work from home contract to hire position. Annual salary upon conversion to FTE will be…
Added 27 days ago
Principal Scientist [Machine Learning Engineer] - Ads Platform
Fetch
Remote, United States
…goals into measurable outcomes. We’re looking for a Principal Machine Learning Engineer to architect and build the intelligence behind that platform - from translating advertiser objectives…
Added 27 days ago
Staff Machine Learning Engineer
Fetch
Remote, United States
Fetch is building the future of personalized consumer experiences. We’re looking for a Staff Machine Learning Engineer to serve as the technical lead for a high-impact ML team focused on…
Added 28 days ago
Data and Analytics Architect - MS Fabric
SysLogic, Inc.
Remote, United States
Candidates must reside, at the time of application in one of the ten approved state locations to be considered for this position
Added 29 days ago
Infrastructure Engineer Lead – Cloud AI
AEP Service Corporation
Remote, United States
This hands-on role builds and operates secure, scalable infrastructure for AI and machine learning workloads across AWS and approved on-premises environments. Responsibilities include cloud…
Added 1 month ago
Infrastructure Engineer
Roboflow
Remote, United States
…databases, file storage, search clusters, microservices, and machine learning pipelines. You'll work closely with our product team and collaborate across the company on product, operations,…
Added 1 month ago
Lead AI Engineer - Advanced AI (applied ML, Gen AI, ML Ops)
Target Enterprise Inc
Remote, United States
…engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software…
Added 1 month ago
NS
Lead Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
Next Step Systems
Remote, United States
- $175,000 to $195,000 USD / year
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, IT Lead, LLM, Large Language Model, Lead Software Engineer, ML, Machine…
Added 1 month ago
NS
Principal Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
Next Step Systems
Remote, United States
- $160,000 to $190,000 USD / year
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Principal…
Added 1 month ago
NS
Staff Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
Next Step Systems
Remote, United States
- $150,000 to $180,000 USD / year
…Applications, APIs, Backend, Desktop, LLM, Large Language Model, ML, Machine Learning, Mobile, Staff Software Engineer, Work From Home, Remote, California Recruiters, IT Jobs, California…
Added 1 month ago
GT
Technical Product Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home
Ginas Tech Jobs
Remote, United States
- $185,000 to $200,000 USD / year
Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, LLM, Large Language Model, ML, Machine Learning, Technical Product Lead, UX, User Experience, Work From…

General Motors LLC

Senior Machine Learning Perception Engineer - Fallback Driving System

Remote, United States

The salary range for this role is $170,600.00 to $261,300.00.

Apply on generalmotors.wd5.myworkdayjobs.com About employer

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Job details

Pay: The salary range for this role is $170,600.00 to $261,300.00.
Experience: 3–5 years of experience developing ML solutions in perception, prediction, and/or autonomous driving or related domains.
Posting language: English
Posted: Aug 4, 2026

Original job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

As a Senior Machine Learning Engineer on the State Estimation and Mapping (SEAM) organization, you will develop and improve the ML perception model that powers the secondary (fallback) autonomy stack for Super Cruise 3. You will focus on building robust perception from multi‑modal camera, lidar, and radar data so the vehicle can safely bring itself to a stop when the primary autonomy stack is unavailable.

You will lead the design, implementation, and continuous improvement of ML models for object detection, segmentation, tracking, and prediction, working closely with partner teams across perception, planning, controls, and safety.

What You'll Do

Design, train, and evaluate ML perception models for object detection, semantic/instance segmentation, tracking, and short‑horizon prediction using multi‑modal camera, lidar, and radar data.
Develop and maintain the secondary stack perception model that enables the fallback autonomy system to safely bring the vehicle to a minimal risk condition when the primary system experiences a fault.
Define clear ML success metrics (e.g., precision/recall, latency, robustness under edge cases) and drive systematic experimentation to improve model performance against those metrics.
Analyze large‑scale datasets, curate challenging scenarios, and build data selection and labeling strategies that improve robustness for long‑tail and degraded‑sensor conditions.
Implement efficient training and inference pipelines, including model optimization techniques (e.g., pruning, quantization, distillation) to meet on‑vehicle compute and latency budgets.
Collaborate with software and infra engineers to integrate models into production systems, including interfaces, configuration, deployment, monitoring, and regression safeguards.
Partner with Safety, Systems Engineering, and Product to translate system requirements into concrete ML model requirements, metrics, and validation criteria.
Contribute to verification and validation strategies for the fallback perception model, including offline evaluation, simulation, hardware‑in‑the‑loop, and on‑road testing.
Participate in code reviews, promote ML and software engineering best practices, and provide technical mentorship to other engineers.

Qualifications

BS, MS, or PhD in Machine Learning, Robotics, Computer Science, or a related technical field; or equivalent practical experience building ML perception systems.
3–5 years of experience developing ML solutions in perception, prediction, and/or autonomous driving or related domains.
Strong experience with multi‑modal sensor data (camera, lidar, radar), including data preprocessing, synchronization, and fusion.
Deep expertise in modern deep learning for perception, such as convolutional and transformer‑based architectures for:
2D/3D object detection
Semantic and instance segmentation
Multi‑object tracking and motion prediction
Proficiency in at least one major ML framework (e.g., PyTorch, TensorFlow, JAX) and Python for model development, training, and analysis.
Solid software engineering skills, including experience working in C++ or similar languages in large, collaborative codebases.
Demonstrated ability to define ML metrics, design experiments, and systematically improve model performance and robustness.
Strong problem‑solving, communication, and cross‑functional collaboration skills.
Self‑motivated, with a passion for autonomous driving technology and its potential impact on safety and mobility.

Nice to have

Experience deploying ML models on embedded or resource‑constrained platforms, including model optimization and performance tuning for real‑time inference.
Experience with AV/ADAS perception stacks, robotics, or ROS.
Familiarity with safety‑critical systems and development practices.
Experience with large‑scale data pipelines, labeling workflows, and experiment management for ML.

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

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 the California Bay Area.

The salary range for this role is $170,600.00 to $261,300.00. 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:

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.

This job may be eligible for relocation benefits.

#GM-AV-1

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.

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.

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 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.

Apply on generalmotors.wd5.myworkdayjobs.com About employer

More about this job

Skills

Machine learning
Design process
Estimating
ML
Process improvement
Robotics
Computer science
Deep learning
PyTorch
TensorFlow
Python
C++
Problem solving
Communication skills
Collaboration

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Work requirements

Remote jobs in the United States