Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs.
You will be a core contributor to team planning, design reviews, and code quality.
Take a holistic view of projects, considering their impact across multiple teams, and proactively drive technical prioritization.
Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.
Mentor and onboard junior engineers and interns, helping them grow their careers.

Requirements

3+ years of experience building large-scale distributed systems/applications or advanced ML Applications.
Proven track record of building robust frameworks with high-quality, long-lasting APIs.
Deep understanding and practical experience with machine learning algorithms.
Expertise in building reliable, highly performant, and cost-efficient systems leveraging modern cloud infrastructure.
Hands-on experience with the entire ML development lifecycle and MLOps practices.
Demonstrated ability to collaborate effectively across multiple teams and organizations.
Proficiency working with containerization and orchestration technologies (Docker, Kubernetes).
A strong passion for self-driving technology and its transformative potential.
Exceptional coding skills in Python or C++.
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdistributed systemsAPIsmachine learning algorithmsMLOpscontainerizationorchestrationPythonC++cloud infrastructure

Soft Skills

collaborationmentoringtechnical interviewingproject managementarchitectural decision-makingcode qualityteam planningtechnical prioritizationcommunicationleadership

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer Science