AI/ML Engineer - Higher Ed

AI/ML Engineer – Higher Education

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. To learn more, please see

The AI/ML Engineer – Higher Education builds AI capabilities for Cengage's higher education products to improve student engagement, learning outcomes, and instructor productivity. You will design, build, and ship production AI features integrated directly into platforms used by millions of students and faculty.

This role requires a builder who ships weekly, cares about learning science, and can design AI experiences that genuinely improve educational outcomes. The ideal candidate has experience shipping production ML or LLM features, understands the nuances of higher education workflows, and balances research-driven thinking with shipping discipline.

Key Responsibilities

• Ship and improve AI features weekly across Cengage HED platforms
• Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback
• Develop Instructor Insight Assistant features for course analytics and at-risk student identification
• Create Content Studio capabilities for AI-assisted content authoring and adaptation
• Integrate LLMs, RAG systems, and agentic workflows into HED platform architectures

• Integrate AI features into existing HED platform architectures and data systems
• Partner with platform engineering on API design, scaling, and production deployment
• Build retrieval systems against Cengage's proprietary content library (books, assessments, media)
• Ensure AI features meet FERPA compliance and accessibility standards (WCAG, DOJ)
• Resolve technical blockers and production issues with urgency

• Monitor feature usage, engagement, and learning outcome impact
• Track and improve model performance on quality, cost, and latency dimensions
• Partner with learning scientists and researchers on efficacy measurement
• Iterate rapidly based on student feedback, instructor feedback, and usage telemetry
• Maintain documentation and engineering runbooks for deployed AI features

Required Qualifications

• 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)
• Experience with RAG architectures, vector databases, and embedding models
• Solid software engineering fundamentals including testing, CI/CD, and system design
• Experience shipping production features at scale (thousands or millions of users)
• Strong communication skills to work with product, design, and research partners

Preferred Qualifications

• Experience in EdTech or adjacent domains with production education AI features
• Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
• Background in learning science, educational psychology, or instructional design
• Experience with FERPA compliance and education-industry data handling
• Familiarity with accessibility standards (WCAG, Section 508, DOJ accessibility)
• Experience with fine-tuning, LoRA, or custom model training

Tools & Technologies

You should be comfortable with many of the following:

• Languages: Python, JavaScript/TypeScript, SQL
• AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face
• Vector DBs: Pinecone, Weaviate, pgvector, Chroma
• Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI
• Data: Snowflake, Databricks, Postgres, Redis
• DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines

Key Competencies

• Shipping Mindset — delivers features weekly, not quarterly
• Technical Craft — writes clean, tested, production-grade code
• Learning Orientation — cares about whether AI actually improves learning outcomes
• Systems Thinking — sees the full platform and integrates AI cleanly
• Collaboration — partners effectively with product, design, research, and platform engineering
• Continuous Improvement — iterates on models and features based on data

What We Offer

• 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

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at View email address on click.appcast.io.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company's discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

10% Annual: Individual Target$101,900.00 - $163,000.00 USD