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enrichment workflows (ingestion, transformation, RAG, vector/graph stores, metadata pipelines). Deliver LLM-powered assistants and implement secure tool-calling integrations with university systems. Produce
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tools including game theory, Pareto analysis, multi-objective resource allocation, random variables, physics-based assessments, design of experiments and multi-criteria decision support. This diverse team
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-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph. What you’ll do Stand up and own a
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for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph. What you’ll do: Stand up and own a PubMed or OpenAlex ETL that ingests open
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Document work through reports and presentations Additional responsibilities for higher-level position include: Investigate and evaluate applicability of theories and practices to the development of guidance
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, project manager, and team leads develop cohesive visual strategies. Design charts, graphs, infographics, and illustrations to effectively communicate complex data and concepts. Ensure visual accuracy
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(Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured
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Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets Mentor junior data scientists and analysts
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. Beneficial but not required: Knowledge of learning theory, design, assessment, and/or educational evaluation Teaching experience with a variety of course formats (lecture, lab, seminar, recitation, online, etc
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theories, universal design principles, and best practices for developing courses for working professionals. What we are looking for: A strong foundational knowledge of learning science and instructional