Director of Applied Science and Engineering - Knowledge Graphs & AI

📋 Description

• Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform, including
• Build, hire, and lead a team of applied scientists and research engineers; establish team culture
• Drive the design of per-tenant knowledge graph schemas, ontologies, and data models tailored to the
• Oversee pipelines that extract structured knowledge from unstructured conversational and document
• Lead the development of reasoning and inference layers over the knowledge graph to power
• Direct research into graph-based models (GNNs, relational embeddings, link prediction, temporal

🎯 Requirements

• PhD in Computer Science, Machine Learning, NLP, or a related field with a focus on knowledge
• 10+ years of experience in applied science or machine learning, with at least 3 years in a people
• Demonstrated track record of building and shipping knowledge graph, NLP, or graph ML systems at
• Deep expertise in at least three of: knowledge graph construction, entity resolution, information
• Strong engineering fundamentals; proficiency in Python / Golang; and graph databases or query
• Experience recruiting, developing, and retaining top applied science talent; grown ICs into senior

🎁 Benefits

• Highly competitive salary
• 25 days annual vacation time + sick time and casual leave
• Group medical policy coverage available to employees and up to 5 eligible family members
• OPD benefit covered up to INR 10,000
• Life insurance and personal accident insurance at 3x annual CTC
• 26 weeks of maternity leave pay, and 15 days of paternity leave pay