Applied Scientist, SPX AI Lab

Amazon; Nashville (TN); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

A leading technology company based in Nashville, Tennessee, is seeking an Applied Scientist to develop next-generation tools using machine learning and generative AI for Amazon sellers. In this role, you will collaborate with industry experts to drive impactful features and innovations at a large scale. Ideal candidates will have a PhD or Master's degree, significant experience in machine learning, and strong programming skills. Competitive salary and comprehensive benefits package offered.

Qualifications

• PhD or Master's degree and 4+ years of CS, CE, ML or related field experience.
• 3+ years of building machine learning models or developing algorithms for business applications.
• Experience programming in Java, C++, Python, or related language.

Responsibilities

• Use state‑of‑the‑art Machine Learning and Generative AI techniques to create tools for Amazon's sellers.
• Design, develop, and deploy innovative models for seller interactions.
• Work closely with scientists and engineers to implement models in real-time.

Skills

Machine Learning

Generative AI

Java

C++

Python

Education

PhD or Master's degree in CS, CE, ML or related

Job description

Job ID: 3193573 | Amazon.com Services LLC

Amazon Seller Assistant is our flagship GenAI‑first, multi‑agent system that reimagines the seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

We are seeking a world‑class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top‑tier scientists and engineers to launch production‑grade agentic capabilities at Amazon's scale—owning your problem space end‑to‑end, from a crisp customer insight to a shipped product that millions of sellers rely on.

Key job responsibilities

• Use state‑of‑the‑art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.
• Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
• Work closely with teams of scientists and software engineers to drive real‑time model implementations and deliver novel and highly impactful features.
• Establish scalable, efficient, automated processes for large‑scale data analyses, model benchmarking, model validation and model implementation.
• Research and implement novel machine learning and statistical approaches.
• Participate in strategic initiatives to employ the most recent advances in ML in a fast‑paced, experimental environment.

About the team

Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce—not as a research group, but as a team shipping production‑grade, multi‑agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer‑obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building machine learning models or developing algorithms for business applications
• 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

Preferred Qualifications

• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
• 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
• Experience identifying opportunities to integrate AI solutions into products and services to drive business value

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 Amazon Accommodations for more information. If the country/region you’re applying in isn’t 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 optional 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 Amazon Benefits.

USA, WA, Seattle - 142,800.00 – 193,200.00 USD annually

Posted: October 17, 2025 (Updated 3 months ago)

Posted: February 16, 2026 (Updated 16 days ago)

Posted: January 7, 2026 (Updated 1 day ago)

Posted: July 31, 2025 (Updated about 2 months ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.