AI Training Infrastructure Engineer

about 5 hours ago

Bellevue, WA, USASenior / Staff+

Responsibilities

Build and scale distributed training infrastructure for large AI models across GPU clusters.
Design and improve systems for training reliability, efficiency, and resource utilization.
Develop solutions for fault tolerance, checkpointing, and large-scale training operations.
Integrate AI models into production training pipelines with engineering teams.
Diagnose and resolve issues affecting training throughput and reliability.
Build tools and automation to enhance the developer experience for AI researchers.
Establish best practices for training infrastructure and operational processes.
Contribute to the evolution of the AI infrastructure platform.

Hands-on experience with distributed training systems or large-scale machine learning infrastructure.
Experience supporting large AI models and post-training workflows.
Strong understanding of reliability and efficiency challenges in multi-node GPU training.
Experience integrating training systems with production machine learning pipelines.
Strong programming skills and experience with complex distributed systems.
Ability to independently manage technically challenging projects in a fast-paced environment.

Competitive base pay for the Bellevue market.
Eligibility for merit increases, annual bonuses, and stock based on performance.
Access to medical, dental, and vision insurance.
401(k) plan with company match.
Paid holidays each calendar year.