Amazon Senior Applied Scientist Sponsored Products Brands 

United States, Washington, Seattle 

848978627

Key job responsibilities
As an applied scientist on our team, you will* Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
* You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.
* You 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. These systems or solutions can be brand new or evolve from existing ones.* 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

- 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
- Deep curiosity, and basic knowledge on Gen AI

- 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.
- Previous work on agents or LLMs