Pearson

About the Company

Our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. That's why our c. 20,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world's leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn't just what we do. It's who we are.

Listed Jobs

Company Name

Pearson

Job Title

ML Engineer - Automated Scorer

Job Description

**Job Title:** ML Engineer - Automated Scorer **Role Summary:** Develop and deploy machine learning models to score student assessments via automated systems. Ensure model accuracy, fairness, and scalability for large-scale standardized test scoring. Collaborate with cross-functional teams to improve automated scoring technologies. **Expectations:** - Train, evaluate, and deploy machine learning models for short answer/essay scoring. - Monitor and recalibrate models to maintain performance and reduce bias. - Optimize production codebases for training and deployment workflows. - Research emerging NLP technologies and evaluate strategies to enhance modeling techniques. **Key Responsibilities:** - Maintain and improve ML pipelines for automated grading systems. - Analyze historical model performance to identify improvement opportunities. - Support model deployment in production environments with reliability and efficiency. - Collaborate with stakeholders to align technical solutions with educational assessment goals. **Required Skills:** - Proficiency in Python and Linux-based systems. - Strong coding skills in machine learning frameworks (e.g., TensorFlow, PyTorch). - Experience deploying ML models into production environments. - Familiarity with version control (Git) and software engineering best practices. - Knowledge of machine learning principles and NLP techniques. - Analytical problem-solving and data-driven decision-making. **Required Education & Certifications:** - Bachelor’s degree in a quantitative field (CS, statistics, math, data science). - 0–2 years of professional experience in software engineering or data science roles.

United states

Remote

05-10-2025

Company Name

Pearson

Job Title

Senior AI Product Manager

Job Description

**Job title:** Senior AI Product Manager **Role Summary:** Lead end‑to‑end product strategy and execution for a portfolio of AI‑driven educational tools (Writing Solutions, MediaShare, Freehand Grader). Drive growth, define roadmaps, and collaborate cross‑functionally to deliver market‑ready features that meet customer needs and business objectives. **Expectations:** - 5+ years of product management experience in educational technology or equivalent roles. - Proven track record of delivering product roadmaps, launching features, and driving product growth. **Key Responsibilities:** - • Partner with the Director of Product Management to refine strategy through customer research, performance, competitive, and market analysis. - • Champion product vision and strategy with stakeholders at all levels. - • Translate strategy into actionable roadmaps: opportunity sizing, scope definition, and go‑to‑market alignment. - • Work closely with Engineering, UX, and Program Management to execute roadmap deliverables. - • Coordinate with Portfolio, Content Production, Customer Success, and Marketing to keep strategy informed by stakeholder and customer insights. - • Serve as subject‑matter expert on product capabilities and competitive positioning. - • Identify, track, and analyze key performance metrics; communicate insights to guide business and product decisions. - • Lead product research, experimentation, and user‑feedback loops to validate market dynamics. - • Own end‑to‑end customer advocacy, resolving issues and influencing cross‑functional resolution. - • Collaborate on go‑to‑market strategy and enable successful launches and feature updates with Marketing, Sales, Portfolio, and Customer Success teams. **Required Skills:** - Customer‑obsessed discovery mindset. - Strategic thinking with strong analytical and problem‑solving skills. - Results‑driven, self‑motivated, and able to execute in dynamic environments. - Excellent influencing, relationship building, and cross‑functional collaboration. - Ability to navigate ambiguity and propose effective solutions. - Global mindset with clear, concise communication across cultures. - Experience gathering, analyzing, and acting on user feedback. - Proficiency in assessing market opportunities and prioritizing impact. - Competence in analyzing and presenting product performance metrics using analytical and presentation tools. **Required Education & Certifications:** - Bachelor’s degree in Business, Computer Science, Engineering, or a related discipline (or equivalent experience). - No specific certifications required.

Honolulu, United states

On site

Senior

10-12-2025