Sr Applied Scientist, AWS Training and Certifications
Listed on 2025-12-19
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IT/Tech
Cloud Computing, Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Sr Applied Scientist, AWS Training and Certifications
Join to apply for the Sr Applied Scientist, AWS Training and Certifications role at Amazon Web Services (AWS)
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.
Keyjob 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.
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 CultureAWS 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 GrowthWe’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 BalanceWe 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…
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