Applied Scientist, LLM Development Tools

Description Amazon Web Services (AWS) is seeking talented scientists and engineers to join our team and drive the creation of pioneering AI-driven development tools. Become part of the Amazon Kiro LLM-Training team and contribute to innovative generative AI technologies such as Kiro IDE and Amazon Q Developer, which are transforming the software development process. Key Responsibilities Explore and advance reinforcement learning and post-training techniques for large language models focused on code intelligence. Create and implement cutting-edge machine learning solutions at an unmatched scale within Amazon. Deliver groundbreaking products that enhance the daily workflows of millions of developers globally. Pioneer significant advancements in AI and machine learning, pushing the boundaries of intelligent code assistance. Publish your research and present at top ML and NLP conferences such as NeurIPS, ICML, ICLR, ACL, and EMNLP. Drive rapid innovation by collaborating with customers to turn research breakthroughs into effective production systems. About the Team The AWS Developer Agents and Experiences (DAE) team is revolutionizing the builder experience using generative AI and foundation models. We harness the latest advancements in AI to transform the way engineers work, from IDE environments to web-based tools and services, enabling developers to efficiently handle projects of any scale. AWS Utility Computing (UC) pushes forward product innovations, delivering foundational services such as Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), along with consistent new releases that differentiate AWS in the industry. As a member of the UC organization, you will play a vital role in developing and managing a variety of services related to Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Applications within AWS. The Amazon Dedicated Cloud (ADC) team specifically engages AWS customers requiring enhanced security solutions for their cloud services. Why AWS? Amazon Web Services (AWS) stands as the most comprehensive and widely adopted cloud platform globally. We have pioneered the field of cloud computing and remain committed to constant innovation, gaining the trust of customers from startups to Global 500 companies who rely on our robust suite of products and services to empower their businesses. Inclusive Team Culture At AWS, we encourage a culture of learning and curiosity. Our employee-led affinity groups promote inclusion and allow us to celebrate our differences. With ongoing events and learning experiences, such as Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, we continually embrace our uniqueness. Mentorship & Career Growth We maintain a commitment to elevating our performance standards as we strive to be Earth's Best Employer. Here, you will find abundant opportunities for knowledge-sharing, mentorship, and resources for career advancement, helping you grow into a well-rounded professional. Work/Life Balance We prioritize work-life harmony, believing that achieving success at work should not come at the cost of personal sacrifices. We promote flexibility in our workplace culture, allowing for a supportive environment that enables us to thrive both professionally and personally. Hybrid Work We recognize that innovation sometimes requires focused time for development, as well as the benefits of in-person collaboration. Our team offers flexible options to work in-office or in a hybrid model near one of our U.S. Amazon locations. Basic Qualifications A minimum of 3 years of experience in building models for business applications. PhD or Master's degree with 4+ years in Computer Science, Computer Engineering, Machine Learning, or a related field. Demonstrated experience with patents or publications in top-tier peer-reviewed conferences or journals. Proficiency in programming languages such as Java, C++, or Python. Experience in areas including algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing. Preferred Qualifications Familiarity with Unix/Linux environments. Experience in professional software development. Amazon is an equal opportunity employer. We do not discriminate on the basis of protected veteran status, disability, or any other legally protected status. Additional details for Los Angeles County applicants include: you'll be expected to work safely and cooperatively with fellow employees, adhere to excellence in stressful conditions, and communicate effectively to ensure exceptional service. Pursuant to the Los Angeles County Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver exceptional results for our customers. If you require workplace accommodations during the application or hiring process, please contact your Recruiting Partner. The salary range for this position is as follows: USA, CA, Santa Clara - $171,600.00 - $222,200.00 annually; USA, WA, Seattle - $142,800.00 - $193,200.00 annually. Compensation packages also include sign-on payments and restricted stock units (RSUs), and are determined based on experience, qualifications, and location. Additionally, Amazon provides comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.

Created: 2026-03-04