Senior Applied Scientist - Knowledge Graphs & AI

The role

Design and build knowledge graphs and information extraction pipelines from sales conversations and documents. Train and evaluate graph and recommendation models, and deploy them to production with engineers.

What you will do

• Design and implement entity resolution and ontology population within graph schemas
• Write and optimize graph traversal and feature queries; own data quality for assigned domains
• Build pipelines that extract structured knowledge from calls, emails and CRM notes
• Run experiments to compare approaches and improve accuracy metrics
• Build features for deal risk, next-best-action and coaching recommendations
• Train and evaluate link prediction and node classification models
• Translate sales concepts into graph nodes and relationships; contribute to ontology documentation
• Deploy models and pipelines to production with software engineers; monitor system health

Required qualifications

• PhD in Computer Science, NLP, Machine Learning or a related field, or MS plus 2 years of relevant experience
• Production-quality Python code, clean and tested
• Experience with graph databases or query languages (e.g., Neo4j, SPARQL, Cypher)
• Experience building and evaluating ML models with appropriate metrics
• Track record of building systems, research prototypes or open-source work
• End-to-end ownership of research and model development with minimal oversight
• Ability to explain technical concepts to engineers and product managers
• Eagerness to learn knowledge graphs and applied NLP

Nice to have

• Hands-on experience applying knowledge graphs or graph-based learning in production
• Strong fundamentals in at least two of: knowledge graph construction, information extraction, graph neural networks, recommender systems
• Experience with large-scale unstructured text such as transcripts or email
• Experience with probabilistic graphical models, conversational AI, or sales data
• Published research at top-tier venues

Benefits

• Highly competitive salary
• 25 days annual vacation plus sick time and casual leave
• Group medical coverage for employees and up to 5 eligible family members
• OPD benefit covered up to INR 10,000
• Life and personal accident insurance at 3x annual CTC
• 26 weeks maternity leave pay and 15 days paternity leave pay
• RSU program
• Diversity and inclusion programs and employee resource groups
• Employee referral bonuses
• Team outings

Before you apply

• Outreach is an equal opportunity employer
• Applicants are invited to apply even if they do not meet all listed requirements

About the company

Outreach, founded in 2014, is an agentic AI platform for revenue teams. Its customers include Databricks, SAP, Siemens and Verizon.