Senior SDE – SageMaker Training: Scale ML Customization

Amazon Inc.; Bellevue (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA is seeking a Senior Software Development Engineer to join the SageMaker Training and Model Customization team. You will design, build, and operate distributed services that run large-scale training and reinforcement learning workloads on multi-tenant GPU clusters.

You will own architectural direction, mentor engineers, and partner with science, product, and partner teams to translate evolving requirements into scalable technical solutions while maintaining reliability and

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Responsibilities

• Design, develop, and operate the distributed services that run large-scale training and reinforcement learning workloads
• Build the scheduling, capacity, and fleet-health systems that place customer jobs onto large GPU clusters and keep them running through hardware failure
• Build the infrastructure that hosts and scales the engines, including multi-tenant GPU sharing across customers
• Partner with Science, Product, and partner service teams to translate evolving model and customer requirements into scalable technical solutions
• Maintain a high operational excellence bar for services in the critical path of customer training workloads

Skills

Non-internship software development

Programming experience

Design/architecture leadership

Mentor / tech lead

Education

Bachelor's degree in CS or equivalent

Job description

Amazon in Bellevue, WA is seeking a Senior Software Development Engineer to join the SageMaker Training and Model Customization team. You will design, build, and operate distributed services that run large-scale training and reinforcement learning workloads on multi-tenant GPU clusters.

You will own architectural direction, mentor engineers, and partner with science, product, and partner teams to translate evolving requirements into scalable technical solutions while maintaining reliability and