Sr Applied Scientist, AWS Training and Certifications

Sr Applied Scientist, AWS Training and Certifications

Job  | 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 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.

You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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 team's 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‑faced 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 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.

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.

• 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

• 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…