Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Cross-Functional, Machine Learning, Natural Language Processing (NLP), Order Delivery, Problem Solving Skills, Scientific Publications, Scientific Research, Software Engineering, Systems Scalability, Technical Publications, Technical/Engineering Design, User Interface/Experience (UI/UX)
LOCATION
Seattle, WA
POSTED
27 days ago

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.

Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We"re looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.

Key job responsibilities

  • Design and architect AI-powered agentic solutions that help candidates navigate Amazon"s hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.
  • Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.
  • Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes-continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.
  • Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon"s candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.
  • Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.

About the team

Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You"ll be at the intersection of people, data, and technology-solving fascinating problems that directly impact how we hire the best talent globally.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles