SDE-Machine Learning, AgentCore

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The Research engineering team in AgentCore AI organization accelerates scientific discovery and research innovation of 1P code agents and AgentCore scientists by providing specialized engineering expertise that enables rapid experimentation, robust evaluation, and scalable research infrastructure. ML Engineers combine deep engineering expertise with scientific understanding to accelerate research experimentation. They balance researchers' need for rapid prototyping with reliable, scalable research systems, leveraging distributed computing and advanced tooling to ensure scientific experiments can be conducted efficiently and reproducibly.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Key job responsibilities
As a AgentCore Machine Learning Engineer, you have deep understanding of Large language training and inference techniques. You will be working alongside scientists with different types of data and develop novel model training and inferencing techniques at scale.

The primary responsibilities of this role are to:
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.

About the team
The Research Engineering team within AgentCore Science organization accelerates scientific discovery and research innovation of 1P code agents and AgentCore scientists by providing specialized engineering expertise that enables rapid experimentation, robust evaluation, and scalable research infrastructure.