Sr. Applied Scientist, Ads

Sr. Applied Scientist, Amazon Ads

Amazon Ads is re‑imagining advertising through cutting‑edge generative artificial intelligence (AI). We combine human creativity with AI to transform every aspect of the advertising life cycle—from ad creation and optimization to performance analysis and customer insights.

Why You’ll Love This Role
Work on projects that span the full advertising life cycle, from sophisticated ranking algorithms and real‑time bidding systems to creative optimization and measurement solutions. Influence business strategy through scientific expertise, and collaborate with senior leadership to shape the future of advertising technology.

Your Impact And Career Growth
Amazon Ads invests heavily in AI and ML capabilities; your work will directly impact millions. Lead technical initiatives, mentor other scientists, and collaborate with senior leadership to drive innovation.

• Research and implement cutting‑edge ML approaches, including applications of generative AI and large language models.
• Develop and deploy innovative ML solutions spanning ranking, personalization, NLP, computer vision, recommender systems, and large language models.
• Drive end‑to‑end projects that tackle ambiguous problems at massive scale, working with petabytes of data.
• Build and optimize models that balance multiple stakeholder needs—help customers discover relevant products while enabling advertisers to achieve their goals efficiently.
• Design and run A/B experiments to validate hypotheses, gather insights from large‑scale data analysis, and measure business impact.
• Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience.

• 5+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

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

Los Angeles County applicants:
The role requires safe and cooperative work, adherence to company policies, and compliance with local regulations.