Join Our Trailblazing Team as an Applied Scientist in ProServe GenAI at Amazon

At Amazon, machine learning (ML) innovation transcends mere application—it’s at the core of everything we do. We pioneered some of the most groundbreaking ML realms, including recommendation engines, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. Our Generative AI team is currently inviting applications for an experienced Applied Scientist to help revolutionize the way we solve business and operational challenges using Generative AI technologies across a multitude of industries.

Key Job Responsibilities

In this dynamic role, you will be empowered to:

• Design and develop cutting-edge ML models to address a wide array of business applications.
• Directly interact with diverse customers to analyze their business issues and coordinate the development of scalable Generative AI solutions.
• Collaborate closely with account teams, research scientists, and product engineering teams to spearhead model implementations and drive the innovation of new solutions.

About the Team

AWS values a spectrum of experiences. We believe diverse backgrounds contribute unique insights that fuel our innovation. Whether you’re newly starting, have taken a non-traditional career path, or come from a diverse set of experiences, Amazon is a place for you to build a rewarding career.

Why Choose AWS?

Amazon Web Services (AWS) isn’t just the most comprehensive cloud platform around the globe; it's a place where pioneering in cloud computing is the norm. Businesses from fast-growing startups to Global 500 giants depend on our robust suite of products and services for their operational needs.

Inclusive Team Culture

Here, curiosity thrives and learning is an ongoing journey. Our affinity groups and diversity conferences are testament to our commitment toward inclusion and understanding.

Mentorship & Career Growth

Our high standards are not just for our technologies but for our people too. Amazon prides itself on offering ample opportunities for personal development and professional growth.

Work/Life Harmony

We prioritize maintaining a balance between personal life and work commitments. Flexible work arrangements are part of this balance, ensuring that our employees are both supported and satisfied.

Location Options

Candidates can be based out of several US locations including Arlington, Atlanta, Austin, Houston, Miami, New York City, San Diego, and Seattle.

Basic and Preferred Qualifications

Candidates should hold a PhD or Master’s degree and possess a solid background in Computer Science, Computer Engineering, Machine Learning, or a related field, supplemented by hands-on experience in building models and programming in languages like Java, C++, or Python. Strong communication skills and a proven ability to handle complex, innovative projects are essential. Preferred qualifications include a PhD, experience with deep learning frameworks, and professional software development experience.

Amazon is equal opportunity employer. We value and practice diversity and inclusivity in our workforce and encourage all eligible candidates to apply by visiting our careers page.

Apply today and be a part of global team dedicated to creating paths never explored and solutions that redefine industries!