Talent.com
ML Engineer - Automated Scorer
ML Engineer - Automated ScorerPearson • Atlanta, GA, US
ML Engineer - Automated Scorer

ML Engineer - Automated Scorer

Pearson • Atlanta, GA, US
1 day ago
Job type
  • Full-time
Job description

Overview

Pearson's Automated Scoring Team develops machine learning-based models that analyze tens of millions of learner exam responses each year. The technology provides results quickly on student performance on standardized tests. The Machine Learning Engineer will support the administration of Pearson's automated scoring programs and assist initiatives to innovate and improve the delivery of automated scoring technologies. This role reports to 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 — United States

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 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

  • Bachelor's degree in a quantitative field (CS, EE, statistics, math, data science).
  • 0-2 years of professional experience as a software engineer or data scientist.
  • Solid understanding of machine learning principles and current / emerging technologies.
  • Strong coding and 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 and the ability to interact with colleagues of varying technical abilities.
  • Curious, with habits of continuous learning; strong teamwork and interpersonal skills.
  • Ability to work effectively as part of a collaborative team and manage multiple tasks concurrently.

    • Experiences That Will Set You Apart

  • Advanced degree in a quantitative field (CS, EE, statistics, math, data science).
  • Track record of producing machine learning models and production infrastructure at scale.
  • Familiarity with traditional NLP techniques and / or advancements in large language models (LLMs), generative AI, active learning, and reinforcement learning.
  • Strong experience with machine learning in non-NLP domains.
  • Experience using containerized technologies such as Docker and / or Kubernetes.

    • Working Location and Travel

    This position is remote; no travel is specified.

    Compensation

    Compensation is influenced by factors including skill set, level of experience, and location. Pay ranges follow applicable laws where you are located. This position's stated range is for example purposes and may vary by location.

    About Us

    Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you require reasonable accommodations, you may email TalentExperienceGlobalTeam@grp.pearson.com.

    Job : Evaluation

    Job Family : LEARNING & CONTENT DELIVERY

    Organization : Assessment & Qualifications

    Schedule : FULL_TIME

    Workplace Type : Remote

    Req ID : 21253

    J-18808-Ljbffr

    Create a job alert for this search

    Ml Engineer • Atlanta, GA, US