Sr Applied Scientist, AWS Training and Certifications

AWS Training & Certification is seeking an exceptional Senior Applied Scientist to provide strategic scientific leadership for our industry-leading learning technology initiatives. We have an ambitious vision to revolutionize training experiences through multimodal LLMs agentic AI systems and complex multi-lingual GenAI solutions leveraging Amazons unique expertise and scale. You will drive the scientific agenda for our team identify and frame ill-defined customer problems and invent new methodologies to deliver breakthrough learning experiences that enable customers to solve challenging business problems through workforce upskilling.

AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.


Key job responsibilities
The Senior Applied Scientist will provide strategic scientific leadership for AI-powered learning and certification systems across our product portfolio. This role requires deep expertise in research areas strategic to our organization and the ability to identify and devise new research solutions for ill-defined problems at the product level. You will drive our teams scientific agenda mentor junior scientists and ensure our innovations meet the highest standards of scientific rigor while delivering measurable customer impact. You should be comfortable articulating key scientific challenges for future customer needs and presenting interventions to address complex multi-faceted problems in educational AI.

Drive strategic scientific direction for complex multi-lingual GenAI solutions LLM-powered learning experiences and agentic AI systems at the product level
Identify and frame customer problems devising new research methodologies and paradigms to address educational AI challenges
Design and oversee AI systems for personalized learning recommendations content discovery and adaptive assessment technologies
Establish and maintain core reusable scientific components including advanced evaluation frameworks prompt optimization strategies and knowledge distillation techniques
Mentor and provide technical leadership to 6 Applied Scientists ensuring research methodology excellence and publication-quality standards
Role model the publishing of research results at top-tier peer-reviewed internal and external venues driving the teams publication strategy

About the team
The AWS Training and Certifications team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences and certifications. Starting with Skill Builder a comprehensive hub for all AWS skill acquisition the team is dedicated to offering deeply personalized experiences for individuals and highly customizable experiences for organizations across modalities assessments and certificates. Customers can access training content both free and paid from a wide variety of training products such as digital courses learning plans instructor led classroom training simulated learning environments game based learning formats hands-on labs and social cohorts.

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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

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.


- 5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with conducting research in a corporate setting

- 7 years of building machine learning models or developing algorithms for business application experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.