AI/ML Engineer - Higher Ed
$101.9k - $163kCengage Group
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. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. 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
HED AI Feature Development
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
Platform Integration & Engineering
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
Measurement & Optimization
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
Cengage, a global edtech company, supports learners, educators and institutions across more than 100 countries. With products serving nearly 16 million digital users across the Higher Education, School, Work and English Language Learning markets, we've built a learning ecosystem that connects education to employment. We combine trusted content, AI-powered insights and scalable digital platforms to power learning for every future and drive meaningful outcomes at every stage of the learning journey.
Warning: Be aware, there has been an increase of targeted recruitment scams perpetrated by bad actors falsely providing job offers on behalf Cengage Group to candidates as a means of obtaining personal information. Note that Cengage will always interview candidates via live in-person meetings, phone calls and video calls before an offer would be extended. Also, be sure to check that communication is coming from an @cengage.com email address.
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