Amazon Senior Applied Scientist Personalization - Discovery Innovation Level 

United States, New York, New York 

98813463

Key job responsibilities
You’ll be utilizing your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. You will lead efforts in foundational models to develop new approaches to Personalization, and provide opportunities for scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. You’ll publish papers and file patents. And you’ll work closely with engineers to put your ideas into production. You will participate in the Amazon ML community by authoring scientific papers and submitting them to ML conferences. You will mentor Applied Scientists and Software Development Engineers having an interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.
New York, NY, USA

- 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.
- Experience with large language models such as OpenAI, Claude, BERT, and vector database technologies
- Experience with model and data quality evaluation techniques, generating labelled datasets, and fine-tuning models