Senior Applied Scientist, Sponsored Products and Brands

Key job responsibilities

• Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
• Invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.
• Drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance.
• Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
• Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;
• Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
• Effectively communicate technical and non-technical ideas with teammates and stakeholders;
• Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
• Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
• Stay up-to-date with advancements and the latest modeling techniques in the field

About the team

We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.

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

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.