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 40000 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 isnt about how many hours you spend at home or at work; its 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 were 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.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Santa Clara - 165200.00 - 223600.00 USD annually