Senior Applied Scientist, LLM Code Agents, Kiro Science
About the role
The Senior Applied Scientist, LLM Code Agents, Kiro Science team at Amazon Web Services (AWS) is dedicated to pioneering the next generation of AI-driven development tools. This includes creating groundbreaking generative AI technologies like Kiro IDE and Amazon Q Developer, which 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. Leveraging the latest advances in AI, we transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continually innovate to set our services and features apart in the industry. Our inclusive culture fosters a diverse workforce that embraces our differences, and we offer mentorship and career growth opportunities to help you develop into a better-rounded professional.
Mentorship & Career Growth
We strive to raise our performance bar and become Earth’s Best Employer. We provide endless knowledge-sharing, mentorship, and other career-advancing resources to help you grow professionally.
Work/Life Balance
We value work-life harmony and strive for flexibility in our working culture. We believe achieving success at work should never come at the expense of sacrifices at home.
Basic Qualifications
- 3+ years of building machine learning models for business applications
- PhD or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python, or related languages
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- First author publications at Tier-1 ML conferences
Policies and Compliance
Amazon is committed to a diverse and inclusive workplace. We consider qualified applicants with criminal histories for employment opportunities without regard to their criminal record in accordance with applicable law. Applicants with disabilities may request a reasonable accommodation to assist with the application process. Please contact us to request an accommodation.