mid machine learning Applied Scientist ic · Posted Apr 7, 2026
$157,300 – $212,800
USD per year

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Palo Alto, CA. The posting calls out experience with Python, Java, SQL, Express. Compensation is listed at $157,300–$212,800 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Palo Alto, CA
Department
Applied Science
Posted
Apr 7, 2026

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Job description

from Amazon careers
Amazon Rufus Experience Science team is seeking a highly motivated Scientist who is passionate about building next-generation shopping experiences. In this role, you will help create conversational shopping journeys where customers can express any shopping need—discovering products, comparing options, finding inspiration, or resolving post-purchase issues. You will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features.
You will thrive in this role if you enjoy bringing research into everyday life—both for customers and for yourself. There’s nothing quite like realizing that a model you deployed yesterday is already improving your own shopping experience today. You will work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation. You’ll also have access to Amazon’s rich datasets, AWS’s massive computational resources, and a network of world-class science and engineering leaders across the company.

Key job responsibilities
Execute the science vision and roadmap.



Develop data-driven solutions for the real-world, large scale problems.



Deliver and maintain software and models in the production environment.



Collaborate cross-functionally between product, design, and engineering.

Basic Qualifications

- Master's 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

Preferred Qualifications

This is an excerpt. Read the full job description on Amazon careers →
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