Note: The job is a remote job and is open to candidates in USA. Cengage is a global education technology company dedicated to enhancing learning experiences. The AI/ML Engineer – School (K-12) will develop AI solutions to support K-12 educators and students, focusing on compliance and child safety while optimizing educational tools and features.
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, which is not guaranteed and is dependent on individual performance and overall company results among other factors
Company Overview
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