Amazon Prime's Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon's consumer business and aspires to be the world's most engaging, satisfying, and loved membership program, driving growth and profitability by spinning Amazon's flywheel. The program serves over 200 million members across 25 countries and is key to ... Amazon's customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. Within the engineering group in Prime Science, we develop world class solutions to complex scientific and engineering problems at Amazon scale.
As an experienced Software Engineer, you will collaborate with ML scientists, economists and developers across the company to develop, test and deploy AWS services that implement a wide range of econometric and ML models. A successful candidate will have a passion for innovation and excellence, a constant desire to learn cutting-edge technology and science, and excitement about working in a multi-disciplinary environment in a high-impact business domain.
A day in the life
You will develop and own software systems that impact millions of Amazon customers worldwide. You will deliver on foundational systems to help our science teams scale science to delight and optimize customer experiences. You will work alongside leading scientists, data engineers and analysts to deliver in a collaborative and cross functional manner. You will dive deep to understand the science (e.g., ML recommenders or Generative AI), finding innovative ways to combine the latest tech with cutting edge science.
About the team
Prime Science Engineering has a mission to scale scientific applications globally and rapidly to delight our customers. We enable foundational systems for science to horizontally scale science across Prime customer experiences. We are focused on operational and engineering excellence as applied to science driven applications. Our systems are used by scientists, marketers, product managers and business leaders on a daily basis, driving significant impact.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
