Applied Scientist, AWS Agentic AI
Amazon
- Location
- Hybrid (Santa Clara, California)
- Compensation
- $171k - $222k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 6 days ago
About the role
AWS is hiring an Applied Scientist to build systems that enable AI development tools to accumulate knowledge over time. You will solve open problems in continual learning and memory-augmented architectures to impact millions of developers.
Skills
Machine learning
Large language models
Continual learning
Lifelong learning
Memory-augmented architectures
Retrieval mechanisms
Java
C++
Python
Algorithms
Data structures
Numerical optimization
Data mining
Parallel computing
Distributed computing
High-performance computing
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Paid time off
- Parental leave
- Life insurance
Perks
- Hybrid Work
- Restricted stock units
Full job details
Most AI assistants today start every conversation from scratch, forgetting what they learned yesterday about developer's codebase, patterns, and the way they like to work. Amazon Web Services (AWS) is assembling an elite team of scientists and engineers to change that, and we are hiring an Applied Scientist to build the systems that let our AI development tools accumulate knowledge over time and get genuinely better the more you use them. You will help create generative AI technologies, including Kiro IDE and CLI, that are transforming how software gets built.
You will take on some of the hardest open problems in machine learning: how a model keeps learning without forgetting what it already knew, how to store and retrieve the right memory at the right moment, and how to personalize the experience for each developer and team without starting over every time. Your work will reach millions of developers rather than sit in a paper, and you will own a research direction end to end rather than share a sliver of attention across many priorities.
Key job responsibilities
- Push the boundaries of continual and lifelong learning for large language models specialized in code intelligence
- Design memory-augmented architectures and retrieval mechanisms that let the assistant consolidate, recall, and personalize knowledge over time
- Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale
- Deploy products that directly impact the daily workflows of millions of developers worldwide
- Publish and present your 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
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower 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 never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we 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 in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. Basic Qualifications: - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux
- Experience in professional software development
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.
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, 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.
USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually
You will take on some of the hardest open problems in machine learning: how a model keeps learning without forgetting what it already knew, how to store and retrieve the right memory at the right moment, and how to personalize the experience for each developer and team without starting over every time. Your work will reach millions of developers rather than sit in a paper, and you will own a research direction end to end rather than share a sliver of attention across many priorities.
Key job responsibilities
- Push the boundaries of continual and lifelong learning for large language models specialized in code intelligence
- Design memory-augmented architectures and retrieval mechanisms that let the assistant consolidate, recall, and personalize knowledge over time
- Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale
- Deploy products that directly impact the daily workflows of millions of developers worldwide
- Publish and present your 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
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower 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 never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we 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 in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. Basic Qualifications: - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux
- Experience in professional software development
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.
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, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually