Job Description
Summary
Description
Develop data strategies for training and evaluating models including human-authored/annotated data and synthetic data.
Own requirements related to ontology tools, metrics, and process improvements.
Create, validate and review requests for ontology changes. Work with cross-functional teams to gather requirements across components and negotiate inter-team constraints.
Minimum Qualifications
- Minimum 3 years experience of product development working with taxonomies, data classification, or creating ontologies.
- A curiosity about natural language understanding and its associated complex problems such as the representation of ambiguity.
- Experience working cross-functionally with machine learning and product engineering teams, data science teams, annotation teams, and designers.
- Demonstrated experience with systems thinking, particularly gathering requirements, identifying and resolving conflicts.
- Enjoy working on a diverse set of hard problems in a fast-moving product development environment.
- Bachelors degree or higher in Computer Science, Linguistics, or science / mathematics degrees.
Preferred Qualifications
- Familiarity with lexical semantics.
- Experience with data-driven decision making.
- Experience with statistics and data science, including data base queries
- Experience with Python, Swift, C++, or other equivalent programming languages.
- Background in computational linguistics, data science, or technical product management.