Amazon · 3 days ago
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon is an industry-leading people science and technology organization focused on transforming the hiring process. The Applied Scientist II will design and implement AI-powered solutions to enhance candidate experiences and improve hiring outcomes through innovative technologies.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
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 investigating, designing, prototyping, and delivering new and innovative system solutions
Preferred
Experience applying theoretical models in an applied environment
Experience in professional software development
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
TechRadar.com
2026-01-16
2026-01-16
Chicago Sun-Times - Business
2026-01-16
Company data provided by crunchbase