Sr. Applied Scientist, Global Hiring Science
Core
Building machine learning models and AI systems to reinvent the hiring process, delivering scale and accuracy for Amazon Talent Acquisition operations.
Role type
Senior Applied Scientist (Hiring Science)
Builds
State-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms for talent acquisition.
Domain
People science and technology / Hiring / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model building, neural deep learning methods, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Develop machine learning models for business applications, implement neural deep learning methods, build advanced software tools and AI systems, leverage in-house tech stack for innovative solutions.
Seniority
Senior, hands-on IC
