Sr. SDE-Machine Learning, AgentCore (AI)

TL;DR

Sr. SDE-Machine Learning, AgentCore (AI): Developing and maintaining infrastructure for evaluation and benchmarking of 1P coding agents and AgentCore agent primitives with an accent on designing end-to-end training pipelines and optimizing compute usage. Focus on transforming experimental generative AI artifacts into scalable systems and accelerating scientific discovery.

Location: Must be based in the USA, specifically Santa Clara, CA or Los Angeles County, CA

Salary: $193,300–$261,500 USD annually

Company

hirify.global is a strategic part of Amazon, pioneering in areas like recommendation engines, product search, and large-scale optimization of fulfillment center operations.

What you will do

• Develop and maintain infrastructure for evaluation and benchmarking of 1P coding agents and AgentCore agent primitives.
• Design and maintain end-to-end training pipelines and compute infrastructure to accelerate development of advanced AgentCore agent primitives while optimizing compute usage.
• Transform experimental generative AI artifacts into scalable systems by incorporating robust architectural components and good engineering practices.
• Apply deep understanding of Large Language Model (LLM) training and inference techniques.

Requirements

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

Nice to have

• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor's degree in computer science or equivalent.

Culture & Benefits

• Inclusive team culture with employee-led affinity groups and diversity conferences (CORE and AmazeCon).
• Strong emphasis on work-life balance with flexibility in working hours.
• Dedicated mentorship and career growth opportunities, promoting knowledge sharing among team members.
• Comprehensive benefits package including health insurance (medical, dental, vision, prescription), 401(k) matching, paid time off, and parental leave.