Applied AI Engineer, Learning Intelligence

Databricks
California
Workplace: RemoteFull timeUSD 111,200 - 191,050 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Intellectual curiosity","Problem-solving"]

Own the intelligence layer behind how learners grow by building and maintaining a skill and concept graph and developing ML models that infer learner skill gaps from behavioral, work output, and profile signals. Create and iterate on recommendation systems for next-best modules, learning paths, and dynamic content generation. Partner with frontend, product, and content teams, define explainability standards, and monitor recommendation quality in production with rigorous evaluation frameworks.

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FursaFursa
Databricks
Databricks
4 weeks ago

Applied AI Engineer, Learning Intelligence

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own the intelligence layer behind how learners grow by building and maintaining a skill and concept graph and developing ML models that infer learner skill gaps from behavioral, work output, and profile signals. Create and iterate on recommendation systems for next-best modules, learning paths, and dynamic content generation. Partner with frontend, product, and content teams, define explainability standards, and monitor recommendation quality in production with rigorous evaluation frameworks.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain a skill and concept graph mapping relationships between skills, roles, domains, and learning content.
  • •Develop ML models that infer learner skill levels from usage patterns, work output, assessments, and profile data.
  • •Build and iterate recommendation systems that surface next best modules, suggest learning paths, and generate content dynamically.
  • •Partner with frontend engineers to ensure AI outputs are consumed correctly with appropriate context.
  • •Define explainability standards, validate recommendation quality with product/content teams, and monitor performance with an evaluation framework in production.

Pay and Benefits

Salary: USD 111,200 - 191,050 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in applied ML or data science, with production recommendation or personalization systems.
  • •Hands-on knowledge of knowledge graphs, graph databases, or ontology design.
  • •Experience using LLM APIs and prompt engineering for generative features.
  • •Hands-on experience shipping LLM-based systems to production, including large-scale deployment and evaluation frameworks.
  • •Advanced Python proficiency with experience architecting robust, production-grade applications.
Experience:5+ years
Skills:CommunicationIntellectual curiosityProblem-solving
Languages:English
Tech Stack:PythonLLM APIsPrompt engineeringKnowledge graphsGraph databasesOntology designRetrievalAgent frameworks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn