10+ years of professional work experience applying machine learning to real-world problems and crafting scalable and effective data solutions, including demonstrated contributions towards the development of natural language products and/or technologies
Experience with managing datasets for ML training and/or evaluation
MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field
Excellent programming skills in Python
Good Conversational AI domain knowledge
Experience working with end-to-end pipelines and/or crowd-sourced data labeling
Excellent problem solving, critical thinking, and communication skills
Expertise in defining and measuring evaluation coverage for large language models and agents
Enthusiasm and ability for continuing to learn new technologies
Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components
Excellent understanding of an ML-based product lifecycle
Experience delivering large-scale, cross-functional product or platform outcomes
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