Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction
Amazon, San Francisco, CA, United States
Senior Applied Scientist – Sponsored Products and Brands Ads Response Prediction
Job ID: 10398164 | Amazon.com 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 Amazon.com 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.
Key Job Responsibilities
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
Basic Qualifications
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
Preferred Qualifications
Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
Benefits
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 https://amazon.jobs/en/benefits.
Salary Range
USA, CA, Palo Alto - $192,200.00 - $260,000.00 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.
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Job ID: 10398164 | Amazon.com 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 Amazon.com 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.
Key Job Responsibilities
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
Basic Qualifications
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
Preferred Qualifications
Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
Benefits
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 https://amazon.jobs/en/benefits.
Salary Range
USA, CA, Palo Alto - $192,200.00 - $260,000.00 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.
#J-18808-Ljbffr