Amazon
Senior Applied Scientist, LLM Code Agents, Kiro Science (AWS)
Amazon, Santa Clara, California, us, 95053
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.
Broadly, AWS Utility Computing (UC) provides product innovations such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), and consistently releases new product innovations that set AWS’s services apart. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continually innovating. Startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture We foster a culture of inclusion through employee‑led affinity groups and ongoing events such as Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspiring us to embrace our uniqueness.
Mentorship & Career Growth We offer 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, supporting employees both at work and at home.
Hybrid Work Our team affords flexible, hybrid work models near one of our U.S. Amazon offices, while also offering in‑person collaboration options.
Basic Qualifications
3+ years of building machine learning models for business application experience
PhD or Master’s degree with 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
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 include working safely and cooperatively with other employees, adhering to standards of excellence, communicating respectfully, and following all applicable laws and company policies. Criminal history may impact certain duties. The Los Angeles County Fair Chance Ordinance applies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how‑we‑hire/accommodations for more information.
Our compensation reflects the cost of labor across several U.S. geographic markets. Base pay ranges from $150,400/year to $260,000/year, depending on location and experience. Equity, sign‑on payments, and other benefits may also be provided. For more information, visit https://www.aboutamazon.com/workplace/employee‑benefits. This position will remain posted until filled.
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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.
Broadly, AWS Utility Computing (UC) provides product innovations such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), and consistently releases new product innovations that set AWS’s services apart. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continually innovating. Startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture We foster a culture of inclusion through employee‑led affinity groups and ongoing events such as Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspiring us to embrace our uniqueness.
Mentorship & Career Growth We offer 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, supporting employees both at work and at home.
Hybrid Work Our team affords flexible, hybrid work models near one of our U.S. Amazon offices, while also offering in‑person collaboration options.
Basic Qualifications
3+ years of building machine learning models for business application experience
PhD or Master’s degree with 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
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 include working safely and cooperatively with other employees, adhering to standards of excellence, communicating respectfully, and following all applicable laws and company policies. Criminal history may impact certain duties. The Los Angeles County Fair Chance Ordinance applies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how‑we‑hire/accommodations for more information.
Our compensation reflects the cost of labor across several U.S. geographic markets. Base pay ranges from $150,400/year to $260,000/year, depending on location and experience. Equity, sign‑on payments, and other benefits may also be provided. For more information, visit https://www.aboutamazon.com/workplace/employee‑benefits. This position will remain posted until filled.
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