mid machine learning Applied Scientist ic Phd's · Posted Mar 12, 2026
$171,600 – $222,200
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, Linux, Distributed Systems. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $171,600–$222,200 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Palo Alto, CA
Education
Ph.D. preferred
Department
Applied Science
Posted
Mar 12, 2026
AI Summary
Lead machine learning projects for Amazon's ad forecasting platform, building predictive models to help advertisers optimize campaign outcomes. Perform hands-on data analysis, develop ML models, run A/B experiments, and deploy solutions to production. Requires strong ML expertise, statistical knowledge, and ability to handle ambiguous, large-scale problems.

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Job description

from Amazon careers

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The ADSP Forecasting team's vision is to build the best in class forecasting products offered by any DSP to allow advertisers to forecast campaign outcomes across the full market funnel. Our goal is to empower advertisers using Amazon demand side platform to make informed decisions by providing predictions and recommendations of supply and ad-performance. Our forecasting models and analytical solutions will also help internal teams (sales, PSC, supply desk etc) to gain insights into forecasted supply, demand and ad performance to make the best business decisions. The team comprises…

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