Staff Data Scientist AI/ML
Core
Architecting an Identity-Anchored World Model and Semantic Brain to turn raw event logs into concept-linked graphs for autonomous AI agents.
Role type
Staff Data Scientist (AI/ML Research & Production)
Builds
Autonomous agentic AI systems, semantic substrates, and enterprise world models.
Domain
Enterprise AI, Large Language Models (LLMs), Knowledge Graphs
Deliverable
production ML models
Required skills
Graph database design (AWS Neptune, SPARQL), Large-scale distributed data processing (Apache Spark/PySpark), LLM orchestration (LangChain, LlamaIndex), Cloud infrastructure (AWS, Python), Off-policy evaluation (OPE), Reward signal extraction
Preferred skills
Zero-to-one startup mentality, Academic publication, Industry thought leadership
Technologies
AWS Neptune, SPARQL, Apache Spark, PySpark, Scala, LangChain, LlamaIndex, Python, AWS EC2, Lambda, S3, CloudFormation, CDK, Terraform
Responsibilities
Map fragmented data to human-readable Vertical Ontologies; Design and deploy Concept Graphs anchoring the semantic substrate; Build logic for Reward Signal Extraction and Context-Aware actioning; Utilize Off-Policy Evaluation to simulate high-value scenarios; Engineer automated systems for seamless context mapping.
Seniority
Staff, hands-on IC with strategic influence