Director of Applied Science and Engineering - Knowledge Graphs & AI
Tasks
- Build experiment tracking and A B testing
- Define knowledge graph technical roadmap
- Develop reasoning and inference systems
- Establish research to production deployment process
- Lead applied science and research engineering team
- Lead per-tenant contextual knowledge graph architecture
- Oversee information extraction pipelines
- Partner with engineering product design and data teams
- Represent applied science in technical design reviews
- Research and build graph machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Experimentation | A/B Testing | B testing | Cypher | Entity Linking | Entity Resolution | Event Detection | Experiment tracking | GNNs | Golang | Graph Databases | Graph Machine Learning | Graph Neural Networks | Graph networks | Information Extraction | Knowledge graphs | Link prediction | Machine Learning | Model Evaluation | NLP | Neo4j | Neural Networks | Python | Recommender Systems | Relation extraction | Relational Embeddings | Representation Learning | SPARQL | Temporal Graph Networks | Temporal reasoning
Education
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