Applied Scientist II, PXT

Do you want to leverage your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide If so People eXperience Technology Core Science team would love to discuss how you can make that a reality. Our team is an interdisciplinary team that uses economics behavioral science statistics and machine learning to identify products mechanisms and process improvements that enhance Amazonians well-being and their ability to deliver value for Amazons customers. We collaborate with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.

In this role you will spearhead science design and technical implementation innovations across our predictive modeling and forecasting work-streams. Youll enhance existing models and create new ones empowering leaders throughout Amazon to make data-driven business decisions. Youll collaborate with scientists and engineers to deliver solutions while working closely with business stakeholders to address their specific needs.

Your work will span various business domains (corporate operations safety) and analysis levels (individual group organizational) utilizing a range of modeling approaches (linear tree-based deep neural networks and LLM-based). Youll develop end-to-end ML solutions from problem formulation to deployment maintaining high scientific standards and technical excellence throughout the process.

As an Applied Scientist youll also contribute to the teams science strategy keeping pace with emerging AI/ML trends. Youll mentor junior scientists fostering their growth by identifying high-impact opportunities. Your guidance will span different analysis levels and modeling approaches enabling stakeholders to make informed strategic decisions.

If you excel at building advanced scientific solutions and are passionate about developing technologies that drive organizational change in the AI era join us as we work hard have fun and make history.

Key job responsibilities
Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g. Claude GPT) and AWS services including Amazon Bedrock SageMaker and other AWS AI/ML tools
Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications including prompt engineering few-shot learning fine-tuning and model evaluation
Production Deployment: Build scalable production-ready AI systems that serve millions of requests with high reliability low latency and cost efficiency
Cross-Functional Collaboration: Partner with product managers engineers and business stakeholders to translate business requirements into technical solutions and drive measurable impact
Technical Leadership: Mentor junior scientists contribute to technical strategy and establish best practices for GenAI development across the organization
Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance bias safety and business impact
Documentation & Communication: Publish technical papers create detailed documentation and present findings to both technical and non-technical audiences

About the team
The People eXperience and Technology (PXT) Core Science Team uses science engineering and customer-obsessed problem solving to proactively identify mechanisms process improvements and products that simultaneously improve Amazon and Amazonians lives wellbeing and value of work. As an interdisciplinary team combining talents from machine learning statistics economics behavioral science engineering and product development the Core Science team develops and delivers measurable solutions through innovation and rapid prototyping to accelerate informed accurate and reliable decision-making backed by science and data. We are building a talent intelligence layer fusing natural language understanding network science and large-scale predictive modeling into a unified platform that continuously learns from how people work collaborate and grow across one of the worlds largest and most complex workforces.

- 3 years of building models for business application experience
- PhD or Masters 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

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 172400.00 - 223400.00 USD annually
USA WA Bellevue - 142800.00 - 193200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually