Amazon Sr Applied Scientist - GenAI Catalog Services 

United States, Washington, Seattle 

754453219

Our domain blurs the boundaries between traditional ML, GenAI, LLMs, knowledge graphs, ontologies, entity recognition, image classification, machine translation, entity recognition, and semantic fact extraction. This requires a fast, collaborative environment We not only leverage best-in-class models, but also improve them. You will have the support of a well-established team with a long-term charter, science-smart engineers, language experts, and the latest AWS products and compute resources. You will collaborate closely with teams of software engineers, applied machine learning scientists, product managers, user interface designers, and others in order to influence our business and technical strategy, and play a key role in defining the team’s roadmap.
Unique Opportunities- Opportunities to publish both internally and externally
- Close-knit partnership with science-smart developers – your improvements can roll out in days, not months, because engineers understand your work- Support from over 100 dedicated language experts and SMEs to label, validate, and test your hypothesis
- Challenging, cutting-edge science problems that cross multiple domains (such as textual, semantic and image-aware Transformer models )Key Responsibilities- Publish results internally and externally

- 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.