Sr Applied Scientist, AWS Training and Certifications
Job ID: 3137768 | Amazon Web Services, Inc.
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 Amazon's 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 up‑skilling.
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. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Key job responsibilities
* 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 team’s publication strategy.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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
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
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.
Basic Qualifications
* 5+ years of building machine learning models for business application experience.
* PhD or Master’s 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.
Preferred Qualifications
* 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 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. The base pay for this position ranges from $150,400/year in our lowest market up to $260,000/year in our highest 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: October 7, 2025
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