Top 55 Staff engineer (applied ai / ml) Jobs in Mountain View, Ca

Staff AI / ML Engineer - Embodied AI
General Motors —Mountain View, CA
- $218,800 - $335,300 a year
- Email
- Computer Science
- Office
- Master's degree
- Health savings account
- Paid holidays
Staff Software Engineer, AI Runtime
Databricks —Mountain View, CA
- $190,000 - $265,000 a year
- Computer Science
- Bachelor of Science
- System design
Staff Engineer - AI Agent
Fortinet —Sunnyvale, CA
- $179,500 - $260,000 a year
- Full-time
- Bachelor of Science
- System design
- Bachelor's degree
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors —Sunnyvale, CA
- $189,000 - $300,000 a year
- Email
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Health savings account
- Paid holidays
Staff ML Engineer - Embodied AI Offboard Perception
General Motors —Sunnyvale, CA
- $189,300 - $320,700 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- Office
- Health savings account
- Paid holidays
Senior Staff ML Engineer - AI Safety & Evaluation
A10 Networks —San Jose, CA
- Up to $192,000 a year
- Full-time
- Computer Science
- 5 years
- Master's degree
Sr. Staff AI Engineer, Enterprise Applied AI
Rivian —Palo Alto, CA
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Quick Apply
Senior Staff Engineer, AI Infrastructure
Samsung Electronics —San Jose, CA
- $180,200 - $297,200 a year
- Full-time
- Computer science
- Computer Science
- System design
- Wellness program
- Health insurance
Member of Technical Staff - Applied AI
Architect Labs —Palo Alto, CA
- Full-time
- Doctor of Philosophy
- Senior level
- Electrical Engineering
Quick Apply
Senior Staff AI Engineer
JazzX AI —Los Altos, CA
- Computer science
- Computer Science
- Java
Quick Apply
Staff MLOps Engineer – ML Platform
BrightAI —Palo Alto, CA
- On call
- Computer Science
- Bachelor of Science
- Computer networking
Staff AI Engineer - SimAI Team
General Motors —Sunnyvale, CA
- $189,300 - $290,700 a year
- Email
- Remote
- Computer Science
- Master's degree
- 8 years
- Health savings account
- Paid holidays
Staff Applied AI Scientist
Poshmark —Redwood City, CA
- $192,157 - $297,843 a year
- Full-time
- Hybrid work
- 5 years
- System design
- Office
17h
Staff AI/ML Architect, Embodied AI
Intuitive Surgical —Sunnyvale, CA
- $195,200 - $330,400 a year
- Day shift
- Surgery
- Computer Science
- System design
Senior/Staff AI Research Engineer
Hume AI —San Jose, CA
- $180,000 - $350,000 a year
- Full-time
- Remote
- Senior level
- 2 years
Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
SK hynix memory solutions America Inc. —San Jose, CA
- $140,000 - $165,000 a year
- Computer Science
- Bachelor of Science
- Databases
- Health insurance
- Dental insurance
Quick Apply
14d
Staff Machine Learning Engineer – VLM/LLM Evaluation
Waymo —Mountain View, CA
- $238,000 - $302,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Staff Machine Learning Engineer
Coupang —Mountain View, CA
- $152,000 - $261,000 a year
- Computer Science
- Java
- Master's degree
- Commuter assistance
- Paid parental leave
Quick Apply
Staff ML Software Engineer (L6) — Platform Systems, AIMS Engineering
Netflix —Los Gatos, CA
- $600,000 - $1,066,000 a year
- On call
- System design
- Java
- Senior level
- Paid holidays
- Health insurance
7d
Staff Software Engineer, AI/Agentic Systems
Equinix —Redwood City, CA
- $186,000 - $280,000 a year
- Full-time
- Office
- Senior level
- Leadership
- Paid holidays
- Paid time off

I want to receive the latest job alert for staff engineer (applied ai / ml) in mountain view, ca

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

staff engineer (applied ai / ml) jobs near mountain view, ca

Staff AI / ML Engineer - Embodied AI

General Motors -
Mountain View, CA

Apply Now

Job Details

Full-time
$218,800 - $335,300 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
Software engineering
Reinforcement learning
Computer Science
Robotic systems
PyTorch
Tooling
Spark
NumPy
Robotics engineering
Application deployment
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Master's degree
Doctoral degree in Computer Science
Image recognition
Pandas
Production systems
Collaboration with product development teams
Spark implementation
Machine intelligence
Bachelor's degree
Continuous improvement
Doctor of Philosophy
Model deployment
Applied research
Object detection
Developing large-scale AI models
Mentoring

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.

Role
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.

In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack.

What You'll Do

Design and implement ML solutions aligned with GM’s autonomous driving objectives.
Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.

Your Skills & Abilities

Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
Experience working with large-scale foundation models and alignment methods applied to real-world systems.
Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
Proficiency in PyTorch and Python.
Experience building and scaling model training pipelines enabling efficient iteration across teams.
Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
Strong communication skills enabling effective collaboration across engineering teams.
Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
Experience in robotics or autonomous driving systems preferred.

Remote: This role is based remotely but if you live within a 50-mile radius of 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 r epresentative for positions located outside of the California Bay Area.

The salary range for this role is $218,800.00 to $335,300.00. 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.

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

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

staff engineer (applied ai / ml) jobs in mountain view, ca

Staff AI / ML Engineer - Embodied AI

Staff Software Engineer, AI Runtime

Staff Engineer - AI Agent

Staff ML Engineer - Embodied AI Scaling Foundations

Staff ML Engineer - Embodied AI Offboard Perception

Senior Staff ML Engineer - AI Safety & Evaluation

Sr. Staff AI Engineer, Enterprise Applied AI

Senior Staff Engineer, AI Infrastructure

Member of Technical Staff - Applied AI

Senior Staff AI Engineer

Staff MLOps Engineer – ML Platform

Staff AI Engineer - SimAI Team

Staff Applied AI Scientist

Staff AI/ML Architect, Embodied AI

Senior/Staff AI Research Engineer

Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems

Staff Machine Learning Engineer – VLM/LLM Evaluation

Staff Machine Learning Engineer

Staff ML Software Engineer (L6) — Platform Systems, AIMS Engineering

Staff Software Engineer, AI/Agentic Systems

I want to receive the latest job alert for staff engineer (applied ai / ml) in mountain view, ca

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected