Amazon
Principal Applied Scientist, Kiro Science
Amazon, San Francisco, California, United States, 94199
Job Overview
AWS Agentic AI is looking for a Principal Applied Scientist who will partner with 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 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 is possible in intelligent code assistance.
Publish and present 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 leverage 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.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continuously innovate, which is why customers from startups to Global 500 companies trust our products and services to power their businesses.
Company Culture & Benefits 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 CORE and AmazeCon conferences, inspire us to embrace our uniqueness.
Mentorship & Career Growth: We continuously raise our performance bar and provide endless knowledge‑sharing, mentorship, and career‑advancing resources to help you develop into a well‑rounded professional.
Work/Life Balance: We value work‑life harmony and strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Hybrid Work: Our team affords employees options to work in the office every day or in a flexible, hybrid model near one of our U.S. Amazon offices.
Basic Qualifications
PhD, or Master’s degree and 10+ years of CS, CE, ML or related field experience.>
8+ years of building models for business application experience.
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
Experience programming in Java, C++, Python or related language.
Experience in any of the following areas: AI (NLP or multi‑modality models), Deep Learning, LLM model training, graph learning, software engineering.
Preferred Qualifications
First author publications at Tier‑1 ML conferences.
Legal & Equitable Hiring 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Key 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 is possible in intelligent code assistance.
Publish and present 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 leverage 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.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continuously innovate, which is why customers from startups to Global 500 companies trust our products and services to power their businesses.
Company Culture & Benefits 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 CORE and AmazeCon conferences, inspire us to embrace our uniqueness.
Mentorship & Career Growth: We continuously raise our performance bar and provide endless knowledge‑sharing, mentorship, and career‑advancing resources to help you develop into a well‑rounded professional.
Work/Life Balance: We value work‑life harmony and strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Hybrid Work: Our team affords employees options to work in the office every day or in a flexible, hybrid model near one of our U.S. Amazon offices.
Basic Qualifications
PhD, or Master’s degree and 10+ years of CS, CE, ML or related field experience.>
8+ years of building models for business application experience.
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
Experience programming in Java, C++, Python or related language.
Experience in any of the following areas: AI (NLP or multi‑modality models), Deep Learning, LLM model training, graph learning, software engineering.
Preferred Qualifications
First author publications at Tier‑1 ML conferences.
Legal & Equitable Hiring 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
#J-18808-Ljbffr