AI/ML Engineer - Work

AI/ML Engineer – WorkBuild AI-driven workforce and skills-based capabilities for Cengage's career and learning products.Key ResponsibilitiesDevelop skills inference models that extract competencies from content, assessments, and learner activityBuild skills verification models powering the Skills Verification platformCreate skills-based matching and recommendation systems for jobs, courses, and learning pathsDevelop career pathway recommendation and skills gap analysis featuresIntegrate AI into Cengage workforce platforms including Infosec Skills and IQPlatform Integration & EngineeringIntegrate AI into workforce platforms including content, assessment, and lab systemsEnable skills-based matching and recommendations across Cengage's workforce ecosystemPartner with platform engineering on API design, scaling, and production deploymentAlign to the NICE Framework and other recognized skills taxonomies where applicableBuild evaluation and monitoring systems to measure and improve model accuracy and performanceMeasurement & Business ImpactTrack skills verification accuracy, recommendation quality, and adoption of AI-driven career toolsPartner with product and data science on offline and online evaluationDrive integration completeness across Cengage's workforce product suiteMaintain feature delivery cadence with weekly shipping disciplinePartner with Governance on patent and IP considerations for novel approachesRequired QualificationsBachelor's degree in Computer Science, Engineering, or related field4+ years of experience in software engineering, with at least 2 years focused on AI/MLStrong proficiency in Python with experience building production ML systemsHands-on experience with modern ML techniques including embeddings, ranking, and LLMsExperience with recommendation systems, matching, or representation learningSolid software engineering fundamentals including testing, CI/CD, and system designExperience with offline and online model evaluationStrong communication skills to work with product, data science, and platform teamsPreferred QualificationsPrior experience in workforce tech, HR tech, or skills-based matching platformsFamiliarity with skills taxonomies (NICE Framework, O*NET, ESCO, Lightcast)Experience with LLMs for classification, extraction, and zero-shot matchingBackground in cybersecurity education or adjacent technical learning domainsExperience with behavioral pattern analysis or competency assessmentFamiliarity with agentic AI frameworks (LangChain, LlamaIndex)Tools & TechnologiesLanguages: Python, JavaScript/TypeScript, SQLAI/ML: PyTorch, TensorFlow, Hugging Face, OpenAI API, Anthropic APIML Infra: AWS SageMaker, MLflow, Weights & Biases, RayVector DBs: Pinecone, Weaviate, pgvectorData: Snowflake, Databricks, Postgres, SparkDevOps: Docker, Terraform, GitHub Actions, CI/CD pipelinesKey CompetenciesML Craft — fluent across classical ML and modern LLM-based approachesProduct Orientation — connects model improvements to learner and user outcomesShipping Mindset — delivers on weekly cadence with measured impactDomain Curiosity — invests in understanding skills, workforce, and career dynamicsEvaluation Rigor — designs offline and online evaluation thoughtfullyCollaboration — partners effectively with product, research, and platform engineeringWhat We OfferOpportunity to shape AI at scale across a global learning companyDirect impact on business outcomes, product, and workforce productivityAccess to cutting-edge AI tools, platforms, and technologiesCollaborative team environment focused on innovation and continuous improvementCompetitive compensation and comprehensive benefitsProfessional development and learning opportunitiesFlexible Work ArrangementsRemote/hybrid options.Cengage is committed to working with broad talent pools to attract and hire strong and highly qualified individuals. Applicants are considered regardless of any classification protected by applicable laws.Cengage also commits to providing reasonable accommodations for qualified individuals with disabilities during the application process. If you are an applicant with a disability and require reasonable accommodation, please contact accommodations.ta@cengage.com.CompensationBase pay range not disclosed. 10% Annual Target bonus: $150,000.00 – $200,000.00 USD.WarningBe aware that there has been an increase of targeted recruitment scams perpetrated by bad actors falsely providing job offers on behalf of Cengage Group to candidates as a means of obtaining personal information. Cengage will always interview candidates via live in-person meetings, phone calls, and video calls before an offer is extended. Also check that communication is coming from an @cengage.com email address.J-18808-Ljbffr