Applied Scientist II - Machine Learning
Core
Design and run experiments, develop ML pipelines and models (encoder-decoder, cross-encoder, language models), and build a semantic search stack to understand user intent.
Role type
Applied Scientist II (Machine Learning)
Builds
Scalable ML models and semantic search infrastructure
Domain
Search, Natural Language Processing, Large Scale Data
Deliverable
production ML models
Required skills
Python, experiment design, metric definition, ML pipeline development, encoder-decoder models, cross-encoder models, language models, semantic search, large scale data analysis, privacy and compliance
Preferred skills
publishing research
Technologies
Python
Responsibilities
Design and run experiments, develop ML pipelines and models, partner with Engineering/PM/Design to translate product vision, engage with customers to understand pain points, define and measure success metrics, keep up with latest research
Seniority
Mid-level, hands-on IC
