Pearson VUE

ML Engineer – Automated Scorer

Pearson VUE

full-time

Posted on:

Location Type: Remote

Location: Remote • Texas • 🇺🇸 United States

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Salary

💰 $100,000 - $110,000 per year

Job Level

Mid-LevelSenior

Tech Stack

LinuxPython

About the role

  • 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

Requirements

  • Bachelor’s degree in a quantitative field (CS, EE, statistics, math, data science)
  • 0-2 years professional experience as a software engineer or data scientist
  • 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)
  • Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities
  • Strong team-oriented approach to work, with excellent interpersonal and communication skills, both oral and written
Benefits
  • Eligible to participate in an annual incentive program
  • Health insurance
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonLinuxdata sciencemodel deploymentversion controlobject-oriented programmingfunctional programmingdatabase accessAPI access
Soft skills
communication skillsinterpersonal skillsteam-orientedverbal communicationwritten communication
Certifications
Bachelor’s degree