Are you fascinated by the power of Large Language Models (LLM) and Artificial Intelligence (AI) to transform the way we learn and interact with technology Are you passionate about applying advanced machine learning (ML) techniques to solve complex challenges in the cloud learning space If so AWS Training & Certification (T&C) team has an exciting opportunity for you as an Applied Scientist.
At AWS T&C we strive to be leaders in not only how we learn about the latest AI/ML development and AWS services but also how the same technologies transform the way we learn about them. As an Applied Scientist you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences in our Skill Builder platform for both new learners and seasoned developers. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global leaders and teams across the globe as well as different business and technical organizations.
Join us at the AWS T&C Science Team and become a part of a global team that is redefining the future of cloud learning. With access to vast amounts of data cutting-edge technology and a diverse community of talented individuals you will have the opportunity to make a meaningful impact on the ways how worldwide learners engage with our learning system and builders develop on our platform. Together we will drive innovation solve complex problems and shape the future of future-generation cloud builders.
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Key job responsibilities
- Apply your expertise in LLM to design develop and implement scalable machine learning solutions that address challenges in discovery and engagement for our international audiences.
- Collaborate with cross-functional teams including software engineers data engineers scientists and product managers to define project requirements establish success metrics and deliver high-quality solutions.
- Conduct thorough data analysis to gain insights identify patterns and drive actionable recommendations that enhance operational performance and customer experiences across Skill Builder.
- Continuously explore and evaluate state-of-the-art techniques and methodologies to improve the accuracy and efficiency of AI/ML systems.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders providing clear explanations and guidance on proposed solutions and their potential impact.
About the team
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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
- Masters degree in computer science computer engineering or related field
- Experience programming in Java C Python or related language
- Experience in building large scale search personalization computerized adaptive testing browser/UI automation and/or simulation systems.
- Have publications at top-tier peer-reviewed conferences or journals
- Experience implementing algorithms using both toolkits and self-developed code
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 $129400/year in our lowest geographic market up to $212800/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.