Location: New York,NY, USA
Description
Amazon is looking for a passionate, talented, and inventive Principle Applied Scientist with a strong background in NLP, generative AI,
and agentic AI. As part of the Business Intelligence Applications organization in AWS AI/ML you will develop advanced modeling
techniques to derive insights from vast collections of structured and unstructured data via natural language based interaction. You will
play a technical leadership role and contribute to advancing the state of the art in areas such as information retrieval, RAG, large language
models, reasoning and planning, tabular search, personalization, and multimodality.
You will act as a hands-on contributor as well as a technical mentor to junior scientists and help drive the scientific roadmap.
You will work with product and engineering teams to productionize your approaches within a large-scale environment that serves millions of customers.
Key job responsibilities:
Distill customer requirements and feedback into fundamental science problems
Develop cutting-edge solutions that advance the state of the art
Rapidly implement and prototype novel solutions
Collaborate with software engineering teams to deploy finished solutions into production
Mentor junior scientists
Participate in strategic planning
A successful candidate has excellent technical depth, scientific vision, great implementation skills, a results-driven, collaborative mindset, and a passion for solving real-world problems.
About the team:
The Business Intelligence Applications organization develops innovative scientific solutions that enable customers to derive insights from large, heterogeneous collections of enterprise data sources. We develop the next generation of generative AI-based enterprise assistants and data analytics products.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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, its 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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, theres nothing we cant achieve in the cloud.
This team is part of AWS Utility Computing:
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Basic Qualifications
Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field
7+ years of professional experience as technical lead in academic or industry settings
Expert at more than one major programming languages (C++, Java, or similar) and Python
Demonstrated ability to serve as a technical lead
Excellent verbal and written communication skills; ability to explain complex scientific solutions to engineering and product stakeholders
Publications in top-tier venues (ACL, ICML, ICLR, Neurips, EMNLP, AAAI)
Preferred Qualifications
Deep technical knowledge of machine learning, NLP, and Generative AI/LLMs
Experience with deep learning toolkits and frameworks
Solid software development experience
Demonstrated ability to integrate top-notch scientific solutions into large-scale production systems
Familiarity with business intelligence and analytics applications
Experience with defining research and development practices in an applied environment
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.