Note: The job is a remote job and is open to candidates in USA. Cengage is a global education technology company that provides digital products and services to learners worldwide. The AI/ML Engineer – School (K-12) will build and deploy safe, compliant AI solutions for educators, students, and administrators, including lesson planning, grading, tutoring, analytics, and personalized support features. The role also focuses on child safety, privacy compliance, optimization, and collaboration with curriculum and learning science teams.
Responsibilities
- Build AI tools for teacher lesson planning, worksheet creation, and content adaptation
- Develop AI-powered grading, feedback, and formative assessment features
- Create age-appropriate student support, tutoring, and help experiences
- Build administrator analytics and early-warning systems for student intervention
- Integrate AI capabilities into the Cengage School product ecosystem
- Ensure FERPA, COPPA, and state-level student data privacy compliance in every feature
- Implement child safety guardrails, content filtering, and age-appropriate AI behavior
- Partner with Governance on policy enforcement for minors and classroom contexts
- Handle parent, district, and state-level data privacy and audit requirements
- Build transparency and explainability into AI features used with minors
- Optimize features based on teacher usage data and feedback
- Measure teacher adoption rates, time saved per educator, and classroom impact
- Partner with curriculum and learning science teams on efficacy measurement
- Iterate rapidly while maintaining compliance posture at every release
- Maintain documentation and engineering runbooks for all deployed features
Skills
- Bachelor's degree in Computer Science, Engineering, or related field
- 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
- Strong proficiency in Python with experience building production ML or LLM systems
- Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
- Strong understanding of FERPA, COPPA, and education data privacy requirements
- Experience building AI systems with safety, content filtering, and guardrails
- Solid software engineering fundamentals including testing, CI/CD, and system design
- Excellent judgment on child safety and age-appropriate design decisions
- Prior experience building AI features for K-12 or consumer-safe environments
- Background in EdTech with direct teacher or classroom exposure
- Familiarity with state-level student data privacy regulations (SOPIPA, New York Ed Law 2-d)
- Experience with content moderation, red-teaming, or AI safety evaluation
- Familiarity with agentic AI frameworks (LangChain, LlamaIndex)
- Experience with accessibility standards (WCAG, Section 508, DOJ accessibility)
Benefits
- Opportunity to shape AI at scale across a global learning company
- Direct impact on business outcomes, product, and workforce productivity
- Access to cutting-edge AI tools, platforms, and technologies
- Collaborative team environment focused on innovation and continuous improvement
- Eligible to participate in the company’s discretionary incentive bonus program; bonus target amount is not guaranteed and is dependent on individual performance and overall company results among other factors
Company Overview
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