Senior Applied Scientist

We are seeking a Senior Applied Scientist to join our team in Amazon Web Services (AWS). As a Senior Applied Scientist, you will build the path from customization to trusted evaluation of machine learning models. You will work with customers to decide when and how to customize foundation models using various techniques. The role involves partnering with customer science and engineering teams, developing reference implementations, contributing to open-source projects, and publishing findings.

Key responsibilities:

• Design and own the evaluation methodology for model selection and customization decisions
• Lead end-to-end customization engagements, driving work from data curation to deployment
• Invent new techniques for model customization and evaluation
• Turn engagement learnings into reusable assets, such as reference architectures and open-source accelerators
• Advise field teams and customers on trade-offs among different approaches
• Mentor and influence across teams, turning customer evidence into feature requests

Requirements:

• PhD or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related languages
• 4+ years of building machine learning models for business applications

Preferred qualifications:

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
• Experience with large-scale distributed systems such as Hadoop, Spark
• Experience customizing models for agentic use cases
• Experience with model efficiency techniques