AI/ML Engineer - Work

Job Listing ID:

4486043

Job Title:

AI/ML Engineer -

Work Application Deadline:

Open Until Filled

Job Location:

Portland

Date Posted:

05/05/2026

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

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 https://www.cengagegroup.com/about/inclusion-and-belonging/ . The AI/ML Engineer - Work builds AI-driven workforce and skills-based capabilities for Cengage's career and learning products. You will develop the models and systems that infer skills, verify competencies, and power skills-based matching and recommendations - the capabilities that underpin Cengage's skills graph and workforce platforms including Skills Verification. This role requires a builder who is excited about applied ML for skills, career, and learning data. The ideal candidate has worked on matching, ranking, recommendation, or representation learning problems, understands the workforce and skills domain, and can ship production ML features that meaningfully improve learner career outcomes. Key Responsibilities Skills & Workforce AI Development Develop skills inference models that extract competencies from content, assessments, and learner activity Build skills verification models powering the Skills Verification platform Create skills-based matching and recommendation systems for jobs, courses, and learning paths Develop career pathway recommendation and skills gap analysis features Integrate AI into Cengage workforce platforms including Infosec Skills and IQ Platform Integration & Engineering Integrate AI into workforce platforms including content, assessment, and lab systems Enable skills-based matching and recommendations across Cengage's workforce ecosystem Partner with platform engineering on API design, scaling, and production deployment Align to the NICE Framework and other recognized skills taxonomies where applicable Build evaluation and monitoring systems to measure and improve model accuracy and performance Measurement & Business Impact Track skills verification accuracy, recommendation quality, and adoption of AI-driven career tools Partner with product and data science on offline and online evaluation Drive integration completeness across Cengage's workforce product suite Maintain feature delivery cadence with weekly shipping discipline Partner with Governance on patent and IP considerations for novel approaches 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 St...

Job Classification:

Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A