Staff ML Engineer, Inference Platform
Staff ML Engineer, Inference Platform
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 195000 - 298000
1 Vacancy
Job Description
Job Description
Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium MI or Mountain View Technical Center CA at least three times per week at minimum or other frequency dictated by the business. This job is eligible for relocation assistance.
About the Team:
The ML Inference Platform is part of the AI Compute Platforms organization within Infrastructure Platforms. Our team owns the cloud-agnostic reliable and cost-efficient platform that powers GMs AI efforts. Were proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5) as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental and bulk inference with a focus on performance availability concurrency and scalability. Were committed to maximizing GPU utilization across platforms (B200 H100 A100 and more) while maintaining reliability and cost efficiency.
About the Role:
We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for ML this role youll work closely with ML engineers and researchers to ensure efficient model serving and inference in production for their workflows such as data mining labeling model distillation simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture roadmap and user-experience of a robust ML inference service supporting real-time batch and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML strong problem-solving skills and a product mindset focused on platform usability and reliability.
What youll be doing:
- Design and implement core platform backend software components.
- Collaborate with ML engineers and researchers to understand critical workflows parse them to platform requirements and deliver incremental value.
- Lead technical decision-making on model serving strategies orchestration caching model versioning and auto-scaling mechanisms.
- Drive the development of monitoring observability and metrics to ensure reliability performance and resource optimization of inference services.
- Proactively research and integrate state-of-the-art model serving frameworks hardware accelerators and distributed computing techniques.
- Lead large-scale technical initiatives across GMs ML ecosystem.
- Raise the engineering bar through technical leadership establishing best practices.
- Contribute to open source projects; represent GM in relevant communities.
Additional Job Description
Minimum Requirements
- 8 years of industry experience with focus on machine learning systems or high performance backend services.
- Expertise in either Go Python C or other relevant coding languages.
- Expertise in ML inference model serving frameworks (triton rayserve vLLM etc).
- Strong communication skills and a proven ability to drive cross-functional initiatives.
- Experience working with cloud platforms such as GCP Azure or AWS.
- Ability to thrive in a dynamic multi-tasking environment with ever-evolving priorities.
Preferred Qualifications
- Hands-on experience building ML infrastructure platforms for model serving/inference.
- Experience working with or designing interfaces apis and clients for ML workflows.
- Experience with Ray framework and/or vLLM.
- Experience with distributed systems and handling large-scale data processing.
- Familiarity with telemetry and other feedback loops to inform product improvements.
- Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads.
- Contributions to open-source ML serving frameworks.
Why Join Us
If youre excited to tackle some of todays most complex engineering challenges see the impact of your work in real-world AV applications and help shape the future of AI infrastructure at GMthis is the team for you.
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
- Compensation: The expected base compensation for this role is: $195000 - $298000 Actual base compensation within the identified 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.
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
Employment Type
Full-Time
