Applied Scientist, PXT Central Science
Core
Design, develop, and deploy large-scale machine learning systems to solve complex business problems, specifically personalizing manager on-boarding and development experiences.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Production ML systems for employee development and causal inference frameworks
Domain
Human Resources Technology / Machine Learning
Deliverable
production ML models
Required skills
predictive modeling, natural language processing, recommendation systems, generative AI, deep learning, causal inference, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing
Preferred skills
Unix/Linux usage, professional software development
Technologies
Java, C++, Python
Responsibilities
Design and deploy large-scale ML systems in production; Develop innovative ML solutions using state-of-the-art techniques; Create ML solutions to personalize manager on-boarding and development; Partner to build causal inference models and experimental frameworks; Collaborate with cross-functional teams to define technical roadmaps
Seniority
Senior, hands-on IC