Senior Applied Scientist, LLM Code Agents, Kiro Science

Job  |  Services LLC

Amazon Web Services (AWS) is assembling an elite team of world‑class scientists and engineers to pioneer the next generation of AI‑driven development tools. Join the Amazon Kiro LLM‑Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape.

• Push the boundaries of reinforcement learning and post‑training methodologies for large language models specialized in code intelligence.
• Invent and implement state‑of‑the‑art machine learning solutions that operate at unprecedented Amazon scale.
• Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide.
• Break new ground in AI and machine learning, challenging what’s possible in intelligent code assistance.
• Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP).
• Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems.

The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We’re leveraging the latest advances in AI to transform how engineers work from IDE environments to web‑based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency.

As a member of the AWS Utility Computing (UC) organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things, Platform, and Productivity Apps services in AWS. Within AWS UC, the Amazon Dedicated Cloud (ADC) roles engage with customers who require specialized security solutions for their cloud services.

• 3+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

• First author publications at Tier‑1 ML conferences.

Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con conferences, inspire us to embrace our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. Here you’ll find endless knowledge‑shar­ing, mentorship, and other career‑advancing resources to help you grow into a better‑rounded professional.

We value work‑life harmony and flexibility. Depending on the role, employees may work from the office daily or in a flexible, hybrid model near a U.S. Amazon office.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. This position will remain posted until filled. Applicants should apply via our internal or external career site.