Senior Applied Scientist , Products and Brands Ads Response Prediction

Senior Applied Scientist – Sponsored Products and Brands Ads Response Prediction

Job :  |  Services LLC

About Sponsored Products and Brands:
The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.

• Conduct deep data analysis to derive insights for the business, identify gaps, and uncover new opportunities
• Develop scalable and effective machine‑learning models and optimization strategies to solve business problems
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers to deliver end‑to‑end solutions into production
• Improve the scalability, efficiency, and automation of large‑scale data analytics, model training, deployment, and serving
• Conduct research on new machine‑learning modeling and generative AI solutions to optimize all aspects of Sponsored Products and Brands business

• 3+ years of building machine‑learning models for business applications
• PhD or Master’s degree with 6+ years of applied research experience
• Experience programming in Java, C++, Python, or a related language
• Experience with neural deep‑learning methods and general machine‑learning techniques

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, 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 at (Use the "Apply for this Job" box below)..

USA, CA, Palo Alto - $ - $ USD annually.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.