Applied Scientist - Delivery Experience, DEX Speed & AI

Why this job is awesome?

- This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.

- MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.

- We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.

- Do you want to join an innovative team of scientists and engineers who use optimization, machine learning and Gen-AI techniques to deliver the best delivery experience on every Amazon-owned site?

- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?

- Do you like to own end-to-end business problems/metrics and directly impact the same-day delivery service of Amazon?

- Do you like to innovate and simplify?

If yes, then you may be a great fit to join the Delivery Experience Machine Learning team!

Key job responsibilities

Research and implement Optimization, ML and Gen-AI techniques to create scalable and effective models in Delivery Experience (DEX) systems

Design and develop optimization models and reinforcement learning models to improve quality of same-day selections

Apply LLM technology to empower CX features

Establishing scalable, efficient, automated processes for large scale data analysis and causal inference

BASIC QUALIFICATIONS

- PhD in computer science, machine learning, engineering, or related fields

- PhD in operations research, applied mathematics, theoretical computer science, or equivalent

- 3+ years of building machine learning models or developing algorithms for business application experience

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

PREFERRED QUALIFICATIONS

- Experience with programming languages such as Python, Java, C++

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 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 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 .

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually