Senior Applied Scientist - Knowledge Graphs & AI

About the Role:

• Apply machine learning to knowledge graphs and reasoning systems at scale.
• Build core components of Outreach's per-tenant knowledge graph.
• Develop deep expertise under the guidance of senior scientists.

Responsibilities:

• Own data quality for assigned domains in knowledge graph design.
• Run experiments to compare approaches and improve accuracy metrics.
• Train and evaluate link prediction and node classification models.

Qualifications:

• PhD in Computer Science, NLP, or Machine Learning with focus on knowledge representation.
• Solid engineering fundamentals with production-quality Python code.
• Experience with graph databases and building/tuning ML models.

Why Join:

• Shape the design of a core AI system from the ground up.
• Tackle problems in entity resolution, temporal reasoning, and graph learning.
• Work with real production feedback loops and millions of sales interactions.