
1001 - 5000 employees
Founded 1994
📚 Education
🛍️ eCommerce
☁️ SaaS
Education • eCommerce • SaaS
Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.
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1001 - 5000 employees
Founded 1994
📚 Education
🛍️ eCommerce
☁️ SaaS
Education • eCommerce • SaaS
Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.
• 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 • Be a thought leader in automated scoring by attending and presenting at conferences
• Bachelor’s degree in a quantitative field (CS, EE, statistics, math, data science) • 2+ years professional experience as a software engineer, data scientist, psychometrician, machine learning engineer • Solid understanding of machine learning principles and current/emerging technologies • Strong coding & analytics skills including proficiency in Python and Linux commands • Understanding of or experience with deploying machine learning models into production environments • Familiarity with software engineering fundamentals (version control, object-oriented and functional programming, database and API access patterns, testing) • Passionate about agile software processes, data-driven development, reliability, and systematic experimentation • Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities • Curious and always learning habits of mind • Strong team-oriented approach to work, with excellent interpersonal and communication skills, both oral and written • Ability to work effectively as a member of a team in a collaborative environment • Demonstrated ability to manage multiple tasks and projects simultaneously
• eligible to participate in an annual incentive program
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