Staff ML Engineer, ML Orchestration
Staff ML Engineer, ML Orchestration
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$ 195000 - 298000
1 Vacancy
Job Description
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 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 Orchestration team at GM builds and maintains the foundational infrastructure that powers ML workflows across the company. Our core responsibility is the development and evolution of Roboflow GMs in-house semantic orchestration platform designed to streamline and scale complex ML pipelines from experimentation to production. A key pillar of our work is AI Lineageour capability to track visualize and understand the entire lifecycle of ML artifacts. This includes tracing the origin of data model training runs hyperparameters code versions and evaluation metrics. AI Lineage provides transparency auditability and reproducibility across our ML systems which is essential for debugging model governance regulatory compliance and improving long-term model quality. Together Roboflow and AI Lineage help our engineers move faster with higher confidence enabling GM to iterate quickly while maintaining the safety and performance standards required for autonomous vehicle development.
Position Overview:
We are seeking an experienced Staff Machine Learning Engineer to drive key initiatives within our ML Orchestration this role you will be instrumental in scaling our internal ML platform building automation and self-service tools and ensuring the reliability and efficiency of large-scale ML pipelines across GM. A major focus area for this role is the development and evolution of AI Lineageour system for capturing querying and visualizing the full lifecycle of machine learning artifacts. You will help design lineage tracking for data transformations model training evaluation runs and pipeline dependencies. This functionality is critical for enabling transparency reproducibility debugging and regulatory compliance across our ML ecosystem.
Please note: This is an ML infrastructure engineering role. It does not involve training or applying machine learning models to specific business problems. Instead your impact will come from building core infrastructure products that empower hundreds of ML and data science practitioners at GM to experiment deploy and manage ML workflows at scale.
What Youll Be Doing
- Design & Implementation: Architect implement and test scalable cloud-native distributed systems using modern cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure. Build robust infrastructure to support large-scale ML workflows and data processing at GM.
- Project Ownership: Lead technical projects end-to-endfrom early design through production deployment. Shape the product roadmap and drive key architectural decisions balancing performance reliability and long-term maintainability.
- Cross-Team Collaboration: Actively participate in design reviews team planning and code reviews. Collaborate across multiple engineering teams to deliver cohesive platform solutions. Anticipate integration points and proactively manage dependencies and trade-offs.
- Mentorship & Recruiting: Foster a culture of technical excellence and growth. Interview candidates using calibrated evaluation criteria onboard new hires and mentor engineers and interns to help them grow technically and professionally.
Minimum Qualifications
- 8 years of industry experience with a strong focus on large-scale distributed systems or cloud infrastructure.
- 3 years of experience leading and delivering complex technical initiatives across teams.
- Strong programming skills in Python C Go or similar languages with demonstrated experience building production-grade systems.
- Hands-on experience working with relational and NoSQL databases.
- Proven ability to design build and maintain highly scalable systems in production environments.
- Bachelors Masters or Ph.D. in Computer Science Electrical Engineering Mathematics Physics or a related fieldor equivalent practical experience.
- Deep attention to detail strong problem-solving skills and a track record of building high-quality systems.
- Passion for autonomous vehicles infrastructure engineering and advancing the state of ML platforms.
- Adaptability and a startup mindsetcomfortable working in ambiguity and stepping outside your core responsibilities when needed.
Preferred Qualifications
- Experience with GCP Azure or AWS cloud platforms.
- Familiarity with open-source ML orchestration tools such as Kubeflow Flyte Airflow or similar platforms.
- Experience with Kubernetes and container orchestration at scale.
- Understanding of ML pipelines data lineage model lifecycle management and reproducibility challenges in machine learning systems.
- Strong proficiency in one or more of Python C or Golang.
- Contributions to open-source projects or relevant technical publications.
Why Join Us
If youre excited to tackle some of todays most complex ML Infra 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.
- 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.
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About GM
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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
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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
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Required Experience:
Staff IC
Employment Type
Full-Time
