Applied Scientist - AI/ML , Decision Intelligence team

Who you are

You have a strong background in machine learning and a proven track record of developing innovative solutions that address complex customer problems. With experience in writing production-quality code, you ensure that your solutions are scalable and maintainable. You stay current with the latest research trends and are comfortable applying cutting-edge techniques to real-world challenges. Your ability to collaborate with cross-functional teams allows you to translate scientific findings into actionable insights that drive business outcomes.

You possess a deep understanding of algorithm design and are skilled in optimizing model performance through rigorous testing and iterative improvements. Your experience includes producing internal research reports that meet the standards of top-tier publications, showcasing your scientific rigor and attention to detail. You thrive in environments where ambiguity exists, and you enjoy inventing novel approaches to solve problems that lack textbook solutions.

Desirable

Experience with deploying machine learning models into production systems is a plus, as is familiarity with cloud computing platforms like AWS. A background in producing research publications or contributing to academic literature will further enhance your profile. You are eager to learn and grow, and you welcome feedback to improve your work.

What you'll do

In this role, you will design and develop novel machine learning models and algorithms tailored to solve ambiguous customer problems. You will extend state-of-the-art scientific techniques and invent new approaches driven by customer needs at the project level. Your responsibilities will include writing production-quality code that meets or exceeds SDE I standards, ensuring that your solutions are testable, maintainable, and scalable. You will deploy components directly into production systems that support large-scale applications and services.

You will optimize algorithm and model performance through rigorous testing and iterative improvements, documenting your design decisions and implementation details to enable reproducibility and knowledge transfer. Collaborating with cross-functional teams, you will translate scientific findings into practical applications that yield the best results for customers. Your contributions will directly impact the customer experience and drive measurable business outcomes.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and scientific excellence. We offer a collaborative work environment where your ideas can flourish, and you will have the opportunity to work on projects that directly affect millions of customers. You will have access to the latest tools and technologies, enabling you to push the boundaries of what is possible in machine learning. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.