Databricks
Applied AI Engineer, Learning Intelligence
Vaga remota de Education & Training com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Applied AI Engineer, Learning Intelligence
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Applied AI Engineer, Learning Intelligence
- Design, build, and maintain a skill and concept graph that maps 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 (not just self-reported input)
- Build and iterate on recommendation systems that surface the next best module, suggest learning paths, and generate content dynamically
- Partner with frontend engineers to ensure AI outputs are consumed correctly, surfaced with appropriate context
- Define explainability standards for model outputs so users and stakeholders understand why a recommendation was made
- Collaborate with product and content teams to validate recommendation quality and close feedback loops
- Monitor model performance in production and own the evaluation framework for recommendation quality
Applied AI Engineer, Learning Intelligence
- 5+ years of experience in applied ML or data science, with production recommendation or personalization systems in your background
- Hands-on experience with knowledge graphs, graph databases, or ontology design
- Experience with LLM APIs and prompt engineering for generative features
- Hands-on history of shipping LLM-based systems to production, including large-scale deployment, evaluation frameworks, and agentic workflows
- Advanced Python proficiency and experience architecting robust, production-grade applications
- Deep familiarity with the modern AI stack, from retrieval and agent frameworks to complex prompt engineering, model evaluation, and context engineering
- A high degree of intellectual curiosity and the ability to find elegant, straightforward solutions
- Exceptional communication skills, with the ability to translate technical logic for varied stakeholders
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