Applied Scientist, Seraph

DESCRIPTION

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

Key job responsibilities
As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other applied scientists, software engineers and research scientists from other disciplines to research and develop novel algorithms and modeling techniques to solve difficult problems. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, and Evaluation.

About the team
Our team focuses on utilizing the latest research, tools, and technologies to build experimental AI/ML features and tools to revolutionize the hiring process at Amazon. Our goal is to move quickly to test ideas, evaluate and improve promising features, then scale impactful features into the production workflow.

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing