Pearson is a global leader in education publishing and digital learning solutions, committed to fostering educational excellence. They are seeking a talented Machine Learning Engineer to join their Automated Scoring team, where the main responsibilities include developing and maintaining machine learning models for scoring standardized test responses.
Train, evaluate, and deploy machine learning models tasked with scoring short answer and essay responses from standardized tests
Monitor the performance of deployed models to ensure consistent, fair, and unbiased scoring in real-time applications
Recalibrate and update models as necessary based on ongoing performance metrics and feedback
Maintain and improve the codebase used for training and deploying models, ensuring robustness and scalability
Conduct experiments and analyze historical model performance to identify opportunities for improvement
Research emerging NLP technologies and incorporate relevant innovations into existing systems
Collaborate with cross-disciplinary teams to align model development with psychometric and educational standards
Document processes, experiments, and findings to support transparency and reproducibility
Qualification
Required
Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Data Science, or a related quantitative field
0-2 years of professional experience as a software engineer or data scientist
Solid understanding of machine learning principles and current/emerging technologies
Proficiency in Python programming and Linux command-line tools
Experience with deploying machine learning models into production environments
Knowledge of software engineering fundamentals, including version control, object-oriented and functional programming, database, and API access patterns
Strong analytical skills with the ability to interpret data and model performance metrics
Excellent verbal and written communication skills, capable of engaging with technical and non-technical colleagues
Enthusiasm for agile methodologies, data-driven development, and systematic experimentation
Curiosity and a continuous learning mindset
Ability to manage multiple projects effectively in a collaborative team environment
Preferred
Benefit
Competitive salary aligned with experience and skill set
Participation in annual incentive programs
Comprehensive health, dental, and vision insurance plans
Retirement savings options and financial wellness resources
Flexible remote work arrangements and supportive work environment
Opportunities for professional development and continuous learning
Inclusive and diverse workplace culture that values innovation and collaboration
Pearson operates as a media and education company that offers a wide range of services to its customers.
