Applied Scientist, Skill Builder, AWS Training and Certifications

Applied Scientist, Skill Builder, AWS Training and Certifications

Job ID: 3078869 | 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.

Key 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 world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating—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: Our employee‑led affinity groups foster a culture of inclusion that empowers 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. Diversity Experiences: Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. Work/Life Balance: We value work‑life harmony and strive to provide flexibility as part of our working culture.

Basic Qualifications

• Strong foundation in machine learning, natural language processing, and deep learning.
• Experience applying LLM techniques to solve real‑world problems.
• Proficiency in Python, PyTorch/TensorFlow, and cloud‑native ML services.

Preferred Qualifications

• Publications at top‑tier peer‑reviewed conferences or journals.
• Experience implementing algorithms using both existing toolkits and custom 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.