AI/ML Engineer - School
Core
Build production AI features for K-12 educators and students, including lesson planning tools, automated grading, personalized student support, and administrator analytics.
Role type
Senior IC machine-learning engineer (K-12 education)
Builds
AI-powered lesson planning, grading, feedback, tutoring, and early-warning intervention systems for the Cengage School product ecosystem
Domain
K-12 Education Technology (EdTech)
Deliverable
production ML models | product features
Required skills
Python, production ML/LLM systems, modern AI APIs (OpenAI, Anthropic, AWS Bedrock), FERPA/COPPA compliance, content safety guardrails, system design, CI/CD
Preferred skills
K-12 or consumer-safe AI experience, EdTech background, state-level privacy regulations (SOPIPA, NY Ed Law), content moderation/red-teaming, agentic AI frameworks (LangChain, LlamaIndex), accessibility standards (WCAG, Section 508)
Technologies
Python, JavaScript/TypeScript, SQL, OpenAI API, Anthropic API, AWS Bedrock, LangChain, Hugging Face, Snowflake, Databricks, Postgres, Redis, Docker, Terraform, GitHub Actions
Responsibilities
Build AI tools for teacher lesson planning and worksheet creation; Develop AI-powered grading and formative assessment features; Create age-appropriate student support and tutoring experiences; Integrate AI capabilities into the Cengage School product ecosystem; Ensure FERPA, COPPA, and state-level student data privacy compliance in every feature; Optimize features based on teacher usage data and feedback
Seniority
Senior, hands-on IC