Applied Scientist, PXT Legends

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Company: Amazon

Location: Arlington, VA 22204

Description:

Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon's success-it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.

ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates 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 to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. 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

- Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring.

- Clearly and cogently present your work and ideas, and respond effectively to feedback.

- Collaborate with cross-functional teams with Research Scientists and Software Engineers to integrate AI-driven products into Amazon's hiring process.

- Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring.

- Implement advanced natural language processing models to extract insights from diverse data sources.

- Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities.

About the team

Our team develops high impact AI features and applications to improve both the efficiency and effectiveness of the hiring process across Amazon. In order to facilitate the evaluation and testing of these features, our team owns the Recruiting AI Hub, a platform that allows us to surface experimental tools to users to try out and provide feedback.

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 in patents or publications at top-tier peer-reviewed conferences or journals

- 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

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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