AWS Training & Certification is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading inference technology. We have a vision to provide delightful training experiences by pushing the envelope in multimodal LLMs, and leveraging Amazon's unique experience and expertise. You will envision new ways to solve customer problems, provide innovative learning experiences across modalities, and enable our customers to solve challenging business problems by upskilling their workforce. The Applied Scientist II will contribute to the development of AI systems. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a training and certification product level. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with product and engineering leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. 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.
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Job Type
Full-time
Career Level
Mid Level
Industry
General Merchandise Retailers
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees