Amazon Senior Applied Scientist Product Knowledge 

United States, Washington, Seattle 

101939575

Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research.Key job responsibilities- Work closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge
- Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing- Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product Knowledge
A day in the life
You will work with following stakeholders:- Category Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter experts
- Engineers build and maintain data pipelines and services in production
- Ontologists design data models and define guidelines

- 4+ years of applied research experience
- 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

- 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.