Applied Scientist, Selling Partner Support Engagement

Amazons Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues learn from every interaction and continuously improve with minimal human intervention. These agents reason remember and adapt from understanding the sellers context and selecting the right solution to routing contacts optimally automating resolution end-to-end and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners.

We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions.

Key job responsibilities
- Own end-to-end research and development of RL-based agent improvement systems from problem formulation through production deployment and impact measurement.
- Design novel approaches to preference learning reward modeling and policy optimization in the context of conversational agents operating over real-world tools and APIs.
- Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness correctness safety and alignment with operational standards.
- Collaborate with a team of scientists that work on forefront of Natural Language Understanding Optimization Machine Learning and Statistics
- Partner with 10 engineering teams to deploy models into production systems serving sellers worldwide.
- Publish research at top venues (NeurIPS ICML EMNLP AMLC) the complexity of our problems produces publishable work and we actively support it.

A day in the life
You read the latest research papers and implement novel techniques by building rapid prototypes using AI-assisted coding tools then taking what works from prototype to production. You collaborate closely product managers and engineering teams to translate seller pain points into deployed science solutions. You work closely under mentorship of senior scientists to accelerate delivery of agentic solutions from development to evaluation. Finally you attend meetings with other Amazonians to stay connected to the seller experience by understanding the real problems sellers face so your models solve what actually matters.

About the team
Titans Science is a growing team of scientists building the AI that powers Amazons seller support experience. We operate in across capabilities such as Agentic Systems Knowledge Retrieval & Query Understanding and Content Intelligence & Automation each owning distinct problem spaces but sharing evaluation infrastructure and research insights. We work backwards from business problems deeply understanding the problem space and domain defining gold-standard datasets success metrics and guardrails. This lets us run parallel experiments compare approaches rigorously and ship the best Science models to production. We publish at internal conferences and external venues and we actively invest in research that compounds over multiple product cycles.

The team sits in Seattle/Vancouver and operates with high autonomy. Scientists own their domains end-to-end from problem framing through production deployment. We value speed over perfection scientific rigor over polish and experimentation over debate. We value diverse experiences. Even if you do not meet all of the preferred qualifications listed above we encourage you to apply. The team fosters an inclusive learning culture where individual growth is a priority you will find mentorship knowledge-sharing and career-advancing resources here.

- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- PhD in Engineering Computer Science Machine Learning Operations Research Statistics or related fields
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience researching about machine learning deep learning NLP computer vision data science
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

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 WA Seattle - 136000.00 - 184000.00 USD annually