Amazon is hiring: Senior Applied Scientist, PubTech - Amazon Advertising in Seat

Senior Applied Scientist, PubTech - Amazon Advertising

Job ID: 2910757 | Amazon.com Services LLC

Amazon continues to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to optimize their customer experiences and improve monetization. We focus on creating flexible, standards-based solutions that allow Publishers to innovate while seamlessly interacting with other advertising technology providers—both internal and external.

The Publisher Technology Data, Insights, and Analytics team accelerates data-driven decision-making by providing near real-time data, data management tools, and actionable insights. Our machine learning models inform dynamic floor prices and yield optimization in first and second price auction environments to optimize publisher revenue. Our data products equip Publishers and Monetization teams with the tools needed to understand advertising performance and support scalable machine learning initiatives.

In this role, you will develop machine learning models that incorporate deep product and shopper understanding, and conduct A/B tests to ensure that we identify all useful and relevant advertisements and provide them to downstream systems for click-through prediction and ad auctions. We are looking for a passionate Applied Scientist with technical expertise in information retrieval, Natural Language Processing (NLP), Large Language Models (LLM), and recommender systems (RecSys). In addition to hands-on experience building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show a willingness to continuously learn about new scientific approaches, and thrive in a startup-like environment.

Key job responsibilities

1. Conduct deep data analysis to derive insights for the business, identify gaps, and uncover new opportunities.
2. Develop scalable and effective machine learning models and optimization strategies to solve business problems.
3. Run regular A/B experiments, gather data, and perform statistical analysis to optimize Publisher and advertiser experiences.
4. Collaborate closely with software engineers to deliver end-to-end solutions into production.
5. Enhance the scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and serving.
6. Research and implement new machine learning models and techniques to improve advertising performance.

BASIC QUALIFICATIONS

• 3+ 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.
• Proficiency in solving business problems through machine learning, data mining, and statistical algorithms.
• Expertise in designing and optimizing deep learning models, model pruning, and related optimization techniques.

PREFERRED QUALIFICATIONS

• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with popular deep learning frameworks such as TensorFlow and PyTorch.
• Experience in professional software development and large-scale distributed systems.
• Experience in data pipeline design, A/B testing, analytics for real-time data, and Spark.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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