Amazon
Applied Scientist, Skill Builder, AWS Training and Certifications
Amazon, Seattle, Washington, us, 98127
Applied Scientist, Skill Builder, AWS Training and Certifications
Job ID: 3147801 | Amazon Web Services, Inc. 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 how we learn about the latest AI/ML development and AWS services, and how the same technologies transform the way people learn. As an Applied Scientist, you will join a talented and collaborative team dedicated to driving innovation and delivering exceptional experiences in our Skill Builder platform for both new learners and seasoned developers. You will be part of a global team focused on transforming how people learn, interacting with global leaders and teams across the globe. Join us at the AWS T&C Science Team and become part of a global team redefining the future of cloud learning. With access to vast amounts of data, exciting new technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on how worldwide learners engage with our learning system and how builders develop on our platform. Together, we will drive innovation, solve complex problems, and shape the future of cloud builders. Please visit
https://skillbuilder.awsto
to learn more. 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. Basic Qualifications
Experience programming in Java, C++, Python, or a related language. Experience with SQL and an RDBMS (e.g., Oracle) or a Data Warehouse. Master’s degree or above in computer science, machine learning, engineering, or related fields. Preferred Qualifications
Experience implementing algorithms using both toolkits and self‑developed code. Publications at top‑tier peer‑reviewed conferences or journals. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 3147801 | Amazon Web Services, Inc. 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 how we learn about the latest AI/ML development and AWS services, and how the same technologies transform the way people learn. As an Applied Scientist, you will join a talented and collaborative team dedicated to driving innovation and delivering exceptional experiences in our Skill Builder platform for both new learners and seasoned developers. You will be part of a global team focused on transforming how people learn, interacting with global leaders and teams across the globe. Join us at the AWS T&C Science Team and become part of a global team redefining the future of cloud learning. With access to vast amounts of data, exciting new technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on how worldwide learners engage with our learning system and how builders develop on our platform. Together, we will drive innovation, solve complex problems, and shape the future of cloud builders. Please visit
https://skillbuilder.awsto
to learn more. 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. Basic Qualifications
Experience programming in Java, C++, Python, or a related language. Experience with SQL and an RDBMS (e.g., Oracle) or a Data Warehouse. Master’s degree or above in computer science, machine learning, engineering, or related fields. Preferred Qualifications
Experience implementing algorithms using both toolkits and self‑developed code. Publications at top‑tier peer‑reviewed conferences or journals. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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