ML Research Scientist

We are looking for a talented Research Scientist to help solve fundamental problems in knowledge representation, temporal reasoning, and organizational intelligence. We are an enterprise AI startup building a novel memory infrastructure that reasons across time and context to help organizations operate more intelligently.

Job Duties :

• Build LLM-powered information extraction pipelines to structure unstructured text and communications.
• Develop memory consolidation algorithms to validate information, merge duplicate entities, and prune ephemeral data.
• Design temporal knowledge graph architectures that model organizational execution state as a continuously updated system.
• Create graph attention mechanisms and reasoning systems for complex causal queries (e.g., blockers, dependencies, outcome patterns).
• Research lossy semantic compression using information-theoretic principles to condense event streams into long-term memory.
• Design entity resolution systems that handle identity evolution (merging, splitting, transforming) over time.
• Build meta-learning systems to identify organizational patterns and match situations to historical indicators.
• Develop privacy-preserving cross-organizational learning using federated learning and differential privacy techniques.
• Publish research findings and contribute to the broader AI community.

Ideal Background :

Why Us :

#J-18808-Ljbffr