Das ist der Job
Raise the bar on system observability, debuggability, and operational excellence, and user experience.
Darum lohnt es sich
Collaborate with cross‑functional teams to integrate new features and technologies into the platform. Job Description The Role: We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands‑on technical work.
In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives.
As a Senior ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state‑of‑the‑art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You'll Do: Design and development of scalable, reliabile, high-performance ML framework to support model training at scale. Model training performance analysis and optimizaiton solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
Your Skills & Abilities (Required Qualifications) Bachelors or higher degree in Computer Science or equivalent major or equivalent experience 5+ years professional software engineering experience 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling lar
