Machine Learning Language Engineer - Siri
Apple
Full-time
On-site
Seattle, Washington, United States
Machine Learning
Develop ontologies, models, and standards to define and organize Siri's understanding.
Create, validate, and review requests for ontology changes.
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.
Work with cross-functional teams to gather requirements across components and negotiate inter-team constraints.
- Bachelors degree or higher in Computer Science, Linguistics, or science / mathematics degrees.
- Minimum 3 years experience of product development working with data annotation and creating ontologies and taxonomies.
- Experience with data-driven decision making.
- Experience with statistics and data science, including database queries.
- Experience with Python, Swift, C++, or other equivalent programming languages and AI-assisted programming.
- Background in computational linguistics, data science, or technical product management.
- 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.
- Enthusiasm working on a diverse set of hard problems in a fast-moving product development environment.
- Familiarity with lexical semantics.