Staff AIML Engineer
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Job Location:
Mountain View, CA - USA
Monthly Salary:
$ 198900 - 304800
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Description
Role: As a Staff AI/ML Engineer in the AI Research organization you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally you will help shape technical directions mentor and publish at top conferences
.About the Organization: The AI Research team advances the state-of-the-art in AI for autonomous vehicles. Join a collaborative and innovative team redefining autonomy.
What Youll Do
- Research design and prototype advanced ML approaches (e.g. foundation models VLAs diffusion image/video generation self-supervised learning IL RL) to advance the state-of-the-art in autonomous driving.
- Influence technical roadmaps shaping strategic ML priorities aligned with company objectives and product milestones.
- Provide technical mentorship and vision.
- Collaborate closely with multidisciplinary engineering groups helping foster ML innovation across teams.
- Represent GM externally through publications patents and participation in top conferences.
Your Skills & Abilities (Required Qualifications)
- 5 years of experience in AI/ML research and applied development.
- Deep expertise in modern ML architectures (transformers generative AI multimodal systems).
- Strong programming skills in Python.
- Excellent communication collaboration and mentoring abilities comfortable influencing technical strategy and guiding ML excellence across the organization.
What Will Give You A Competitive Edge (Preferred Qualifications)
- Ph.D. in Machine Learning Robotics Computer Science Electrical Engineering or a related technical field or the equivalent
- Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
- AV/ADAS experience
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center 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 $198900.00 to $304800 USD. 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.
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.
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 were looking out for your well-beingat work and at homeso 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 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.
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.
