Senior Applied Scientist, LLM Code Agents, Kiro Science

Amazon; Santa Clara (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading cloud service provider is looking for a Machine Learning Scientist to join their team in Santa Clara, California. The role involves advancing AI methodologies and deploying innovative products that enhance developer workflows. Ideal candidates will have experience in building machine learning models and a strong academic background, including a PhD or relevant Master's degree.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree and 6+ years of applied research experience.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Push the boundaries of reinforcement learning for large language models.
• Invent and implement state-of-the-art machine learning solutions at scale.
• Deploy products impacting workflows of millions of developers.

Skills

Building machine learning models

Programming in Java, C++, Python

Neural deep learning methods

Education

PhD or Master's degree

Job description

Job ID: 3117066 | Amazon.com 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.

Key Job Responsibilities

• 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.

About the Team

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.

Basic Qualifications

• 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.

Preferred Qualifications

• First author publications at Tier‑1 ML conferences.

Inclusive Team Culture

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 AmazeCon conferences, inspire us to embrace our uniqueness.

Mentorship & Career Growth

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.

Work/Life Balance & Hybrid Work

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.