Applied Scientist, Amazon Ads, Demand Forecasting & Guidance
Amazon · Palo Alto, CA · Applied Science
mid
machine learning
Applied Scientist
ic
3+ yrs Master's
· Posted Feb 5, 2026
$171,600 – $222,200
USD per year
Skills
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, LLMs, Deep Learning and roughly 3+ years of relevant work. Listed education preference: a master's degree 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
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Applied Science
- Posted
- Feb 5, 2026
AI Summary
Mid-level Applied Scientist building forecasting and ML models for Amazon's advertising platform. Leads end-to-end ML initiatives from problem formulation to production deployment, designs experiments, and optimizes ad delivery prediction accuracy. Requires 3+ years building models for business applications and a Master's degree or PhD in CS/ML.
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Job description
from Amazon careersWork at the intersection of Generative AI, AI Agents, and large-scale ML, helping build Amazon's world-class advertising business.
Key job responsibilities
• Lead and contribute to end-to-end ML initiatives with high ambiguity, scale, and complexity from problem formulation through production deployment
• Develop and optimize forecasting models by performing hands-on analysis of large-scale datasets to improve ad delivery prediction accuracy and operational efficiency
• Build, experiment, and deploy machine learning models through rapid prototyping, rigorous experimentation, and close collaboration with software engineering teams for seamless productization.
• Design and execute A/B experiments, collect performance data, and conduct statistical analysis to validate model impact
• Establish scalable ML infrastructure including automated pipelines for data processing, model training, validation, and serving
• Advance the state of the art by researching innovative machine learning techniques and applying them to forecasting challenges
About the team
You'll join a highly motivated, collaborative, and entrepreneurial team with a broad mandate to experiment, innovate, and break new ground. Here, your work will directly influence advertiser success and shape the future of programmatic advertising.
Key job responsibilities
• Lead and contribute to end-to-end ML initiatives with high ambiguity, scale, and complexity from problem formulation through production deployment
• Develop and optimize forecasting models by performing hands-on analysis of large-scale datasets to improve ad delivery prediction accuracy and operational efficiency
• Build, experiment, and deploy machine learning models through rapid prototyping, rigorous experimentation, and close collaboration with software engineering teams for seamless productization.
• Design and execute A/B experiments, collect performance data, and conduct statistical analysis to validate model impact
• Establish scalable ML infrastructure including automated pipelines for data processing, model training, validation, and serving
• Advance the state of the art by researching innovative machine learning techniques and applying them to forecasting challenges
About the team
You'll join a highly motivated, collaborative, and entrepreneurial team with a broad mandate to experiment, innovate, and break new ground. Here, your work will directly influence advertiser success and shape the future of programmatic advertising.
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →