AI/ML Engineer - Higher Ed

Cengage Group
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 163K

Job location

Remote

Tech stack

JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Continuous Integration
DevOps
Github
Python
PostgreSQL
Redis
Standard Sql
Software Engineering
TypeScript
Web Content Accessibility Guidelines
Data Processing
Large Language Models
Snowflake
Information Technology
HuggingFace
Virtual Agents
Api Design
Terraform
Docker
Databricks

Job description

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, * 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, The Engagement Manager leads onboarding and activation for enterprise accounts, presenting to senior leadership and creating repeatable frameworks to enhance engagement. This role requires driving execution and managing the full lifecycle of client interactions, focusing on achieving clear outcomes and customer satisfaction.

Requirements

  • 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, * 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

Benefits & conditions

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, United States Easy Apply 80K-100K Annually Mid level 80K-100K Annually Mid level Fintech * Insurance * Machine Learning * Other * Analytics * Financial Services * Automation The Claims Adjuster manages workers' compensation claims end-to-end, ensuring legal compliance, mitigating exposure, and providing excellent customer service to agents and clients. Top Skills: Google SuiteSlack Scrunch

Engagement Manager

37 Minutes Ago Remote or Hybrid 100K-130K Annually Mid level 100K-130K Annually Mid level, Remote United States 75K-120K Annually Entry level 75K-120K Annually Entry level Cloud * Fintech * Food * Information Technology * Software * Hospitality The Bilingual Hybrid Development Representative (HDR) role focuses on building and qualifying sales opportunities through high-volume outreach, facilitating meetings for Account Executives, and developing sales skills for career progression.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

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 https://www.cengagegroup.com/about/inclusion-and-belonging/. 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., 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.

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