ML Engineer - Automated Scorer

Overview

About Pearson's Automated Scoring Team. As the world's learning company, Pearson helps people make more of their lives through learning. The Automated Scoring team develops machine learning-based models that analyze tens of millions of learner exam responses each year. Our technology provides results quickly on student performance on standardized tests. The Machine Learning Engineer will join Pearson's Automated Scoring Team to support the administration of Pearson's automated scoring programs and help execute initiatives to innovate and improve the delivery of Pearson's automated scoring technologies. This role reports to and works closely with the Director of Automated Scoring and supports program managers, quality assurance automation engineers, psychometricians, and various internal stakeholders to ensure the quality and reliability of our automated scoring systems.

Location : Remote - US

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 and travel

This position is remote.

Compensation

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by applicable laws, the pay range for this position may vary. The minimum full-time salary range is between $100,000 - $110,000. This position is eligible to participate in an annual incentive program.

Who We Are

At Pearson, our purpose is simple : to help people realize the life they imagine through learning. We are 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 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. If you are an individual with a disability and are unable or limited in your ability to use our career site, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

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