Top 1081 Senior ai/ml engineer Jobs in Stanford, Ca

Senior AI/ML Engineer
General Motors —Mountain View, CA
- $170,600 - $261,300 a year
- Email
- Remote
- Computer Science
- Doctor of Philosophy
- Mentoring
- Health savings account
- Paid holidays
Senior ML/AI Engineer - Observability
General Motors —Sunnyvale, CA
- $178,420 - $230,500 a year
- Email
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
12d
Senior ML Platform Engineer
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Senior Engineer, Interactive Voice Response - AI/ML
GEICO —Palo Alto, CA
- $100,000 - $215,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
7d
Senior Software Engineer, AI/ML, AI and Infrastructure
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
13d
AI/ML Engineer - Agentic
Hewlett Packard Enterprise —San Jose, CA
- $136,500 - $276,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior AI Engineer
Hippocratic AI —Palo Alto, CA
- Full-time
- Computer science
- Azure
- Computer Science
Senior AI Engineer
Twin Health —Menlo Park, CA
- $200,000 - $220,000 a year
- Remote
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
Quick Apply
Senior Software Engineer, Sensor AI/ML, Watch Software
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
9d
Senior Machine Learning Engineer - AI/ML
Guidewire Software —San Mateo, CA
- $148,000 - $247,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Java
- Health insurance
- Dental insurance
Senior AI Engineer - Machine Learning (US)
Gauss Labs —Palo Alto, CA
- Full-time
- Hybrid work
- Azure
- Computer Science
- Bachelor of Science
Senior AI/ML Capacity Engineer
General Motors —Sunnyvale, CA
- $144,700 - $261,300 a year
- Email
- Computer science
- Computer Science
- 5 years
- Health savings account
- Paid holidays
Senior Software Engineer, AI/ML, YouTube
YouTube —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior AI Engineer
IntApp —Palo Alto, CA
- Email
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid time off
Distinguished Engineer - AI
NetApp —San Jose, CA
- $266,050 - $396,000 a year
- System design
- Databases
- Product management
- Employee stock purchase plan
- Health insurance
Senior Director of Architecture (PCIe, Storage & Memory)
Everforth —San Jose, CA
- Full-time
- Windows
- US work authorization
- Fair chance
- Health savings account
- Employee stock purchase plan
9d
Senior Director of Architecture (PCIe, Storage & Memory)
Everforth —San Jose, CA
- Full-time
- Windows
- US work authorization
- Fair chance
- Health savings account
- Employee stock purchase plan
9d
Senior Director of Architecture (PCIe, Storage & Memory)
Everforth —San Jose, CA
- Full-time
- Windows
- US work authorization
- Fair chance
- Health savings account
- Employee stock purchase plan
9d
Data Scientist - Machine Learning
Tailored Shared Services, LLC —Dublin, CA
- $80,700 - $110,000 a year
- Full-time
- 3 years
- Master's degree
- SQL
- Store discount
- Paid jury duty
Quick Apply
Senior Director of Architecture (PCIe, Storage & Memory)
Everforth —San Jose, CA
- Full-time
- Windows
- US work authorization
- Fair chance
- Health savings account
- Employee stock purchase plan
9d

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senior ai/ml engineer jobs near stanford, ca

Senior AI/ML Engineer

General Motors -
Mountain View, CA

Apply Now

Job Details

Full-time
$170,600 - $261,300 a year

Benefits

Health savings account
Paid holidays
Health insurance
Dental insurance
Flexible spending account
Tuition reimbursement
Employee assistance program
Vision insurance
Benefits from day one
Life insurance
Retirement plan

Qualifications

AI models
Generative models
Machine intelligence
Doctor of Philosophy
Engineering research
Mentoring
AI implementation
Python
Generative AI

Full 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.

Are you passionate about pushing the boundaries of multimodal artificial intelligence and seeing your models run on physical, real-world systems? As a Senior Research Scientist specializing in Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs), you will be a key contributor in the AI Research organization. You will focus on advancing the frontier of machine learning to solve complex, open-ended problems in autonomous driving.

In this role, you will design, train, and prototype state-of-the-art foundational models that enable our vehicles to understand complex driving environments, reason through difficult edge cases, and map visual-textual inputs directly to safe driving actions. Your primary challenge will be balancing high-capacity AI reasoning with the stringent latency and compute constraints of onboard vehicle hardware. You will actively contribute to our technical direction, collaborate with deployment teams, and publish your findings at top-tier global AI conferences.

What You’ll Do

Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models to enhance the autonomous vehicle’s semantic understanding and decision-making capabilities.
Develop and execute techniques for onboard model optimization, including quantization, distillation, and architecture search, to ensure large foundational models run efficiently on vehicle edge hardware.
Partner closely with downstream engineering teams (perception, planning, and control) to integrate foundational VLM/VLA outputs into the active vehicle software stack.
Contribute to the technical roadmap by identifying high-impact research areas and translating strategic machine learning priorities into concrete, actionable prototypes.
Provide technical mentorship to junior researchers and engineers, fostering a culture of excellence and collaborative innovation.
Secure intellectual property through patents and represent the company externally by publishing peer-reviewed research at top-tier machine learning conferences.

Your Skills & Abilities (Required Qualifications)

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
2+ years of experience in AI/ML research and applied development.
Expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Strong communication, collaboration, and mentoring abilities

What Will Give You A Competitive Edge (Preferred Qualifications)

Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
AV/ADAS experience

Remote: This role is based remotely but if you live within a 50-mile radius of a GM office , 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 r epresentative 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 Now

Refine Your Search

senior ai/ml engineer jobs in stanford, ca

Senior AI/ML Engineer

Senior ML/AI Engineer - Observability

Senior ML Platform Engineer

Senior Engineer, Interactive Voice Response - AI/ML

Senior Software Engineer, AI/ML, AI and Infrastructure

AI/ML Engineer - Agentic

Senior AI Engineer

Senior AI Engineer

Senior Software Engineer, Sensor AI/ML, Watch Software

Senior Machine Learning Engineer - AI/ML

Senior AI Engineer - Machine Learning (US)

Senior AI/ML Capacity Engineer

Senior Software Engineer, AI/ML, YouTube

Senior AI Engineer

Distinguished Engineer - AI

Senior Director of Architecture (PCIe, Storage & Memory)

Senior Director of Architecture (PCIe, Storage & Memory)

Senior Director of Architecture (PCIe, Storage & Memory)

Data Scientist - Machine Learning

Senior Director of Architecture (PCIe, Storage & Memory)

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