Pearson Education - Springfield, IL
posted 3 months ago
The Applied ML Research Team at Pearson is dedicated to maintaining and extending the company's leadership in automated writing analysis across various assessment product markets. This team collaborates closely with the Operational Delivery and ML Platform teams to develop advanced machine learning systems capable of analyzing and scoring tens of millions of learner exam responses each year. The technology we create provides quick and meaningful insights into student performance on standardized tests, thereby supporting educators, students, and parents in their educational journeys. By joining our team, you will have the opportunity to make a significant impact on education while pushing the boundaries of what current technology can achieve. As a Machine Learning Research Engineer, you will take on a pivotal role in advancing our research agenda focused on automated writing assessment. This position is fully remote, allowing you to work from anywhere within the United States while collaborating with a diverse team of professionals. Your responsibilities will include ideating, designing, researching, and developing natural language processing (NLP) and machine learning features, products, and services. You will work alongside cross-functional teams, including software engineers, product managers, subject matter experts, learning scientists, and interaction designers, to build and maintain software components such as pipelines and APIs. In this role, you will also design experiments and create datasets to monitor, evaluate, and improve both new and existing ML/AI models and services. Effective communication of model performance to both technical and non-technical audiences will be essential. Staying up-to-date with the latest advancements in natural language processing, machine learning, and educational technology is crucial, as is the expectation to publish research papers in relevant conferences and journals.