ML Engineer - Automated Scorer

Overview

Location : Remote - US

The Automated Scoring team develops machine learning-based models that analyze tens of millions of learner exam responses each year. Our technology is unique and meaningful, providing results quickly on student performance on standardized tests. The Machine Learning Engineer will join Pearson's Automated Scoring Team to provide support for the administration of Pearson's automated scoring programs and support the execution of initiatives to innovate and improve the delivery of Pearson's automated scoring technologies. This role will report to and work closely with the Director of Automated Scoring, and will also support program managers, quality assurance automation engineers, psychometricians, and various internal stakeholders to ensure the quality and reliability of our automated scoring systems.

Note : This description summarizes the responsibilities and qualifications for the Machine Learning Engineer role based on the information provided.

Responsibilities

• Train, evaluate, and deploy machine learning models tasked with scoring short answer and essay student responses to formative and summative test administrations from school districts nationwide
• Monitor performance of deployed machine learning models to ensure consistent, fair, and unbiased scoring in real time and recalibrate deployed models as needed
• Maintain, update, and improve code base used to train and deploy machine learning models
• Evaluate historical model performance and conduct experiments exploring strategies to potentially improve team modeling techniques and approaches
• Research and stay up-to-date on emerging technologies in the NLP space

Qualifications

Experiences That Will Set You Apart

Working location

This position is remote

Compensation and Contact

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. The pay range for this position is $100,000 - $110,000, depending on location and other factors. This position is eligible to participate in an annual incentive program. Applications will be accepted through October 8, 2025. Information on benefits offered is available here.

EEO Statement

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. Reasonable accommodations may be requested by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job

Evaluation

Job Family

Learning & Content Delivery

Organization

Assessment & Qualifications

Schedule

FULL_TIME

Workplace Type

Remote

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