Senior Applied Scientist, Selling Partner Support Engagement

Amazon; San Francisco (CA); On-site; USD 167,100 - 226,100; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Senior Applied Scientist in San Francisco, California, to enhance the seller support experience through AI-driven solutions. This role involves developing reinforcement learning systems, collaborating with engineering teams, and publishing cutting-edge research.

The ideal candidate will possess a PhD or Master's degree with extensive experience in machine learning and programming. The position offers a competitive salary with comprehensive benefits, including health insurance and 401(k) matching.

Qualifications

• 7+ years of applied research experience.
• 5+ years of building machine learning models for business applications.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Own end-to-end research and development of RL-based agent improvement systems.
• Design novel approaches to preference learning and policy optimization.
• Collaborate with a team of scientists and engineering teams.

Skills

Machine Learning Models

Reinforcement Learning

Programming in Java, C++, Python

Neural Deep Learning

Education

PhD or Master's degree with 5+ years of applied research experience

Tools

R

TensorFlow

scikit-learn

Job description

Overview

Job ID: 10442696 | Amazon.com Services LLC

Amazon's 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 seller's 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 a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will translate real customer pain into science solutions that operate at massive scale and frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions.

Key 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 at the 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) and contribute to raising scientific standards through peer review, mentorship, and hiring.

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 with product managers and engineering teams to translate seller pain points into deployed science solutions. You influence leadership by bringing the state of the art to strategic decisions and drive the science roadmap for your domain. You mentor other scientists and engage with Principals across the org to stay connected to the seller experience.

About the team

Titans Science is a growing team of scientists building the AI that powers Amazon's seller support experience. We operate 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, define gold-standard datasets and success metrics, and ship the best Science models to production. We publish at internal conferences and external venues, and actively invest in research that compounds over multiple product cycles. The team sits in Seattle and operates with high autonomy. Scientists own their domains end-to-end and we value speed, rigor, and experimentation. We welcome applicants with diverse experiences.

Basic Qualifications

• 7+ years of applied research experience
• 5+ years of building machine learning models for business applications
• PhD, or Master's degree and 5+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy
• Experience in design, wire-framing, and prototyping tools
• 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
• Experience identifying opportunities to integrate AI solutions into products and services to drive business value
• Building and Scaling Agentic System Components like Memory, Retrieval, Reasoning and Tool Calling

Compensation and Benefits

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and RSUs. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription), life insurance, EAP, mental health support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about benefits at https://amazon.jobs/en/benefits.

Equal Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation during the application and hiring 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.

The information above is current as of posting dates in the job listing and is subject to change. This posting may be closed at any time.