Applied Scientist - Delivery Experience, DEX Speed & AI

Amazon • Bellevue, WA

2d

About The Position

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!

Requirements

• 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

Nice To Haves

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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree