Senior Machine Learning Scientist (USA Remote) at Turnitin | Remote

Tech
Worldwide
May 26, 2026
Full Time
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Job Overview

  • Date Posted
    May 26, 2026
  • Country
    Worldwide
  • Expiration date
    --

Job Description

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Join Turnitin, a recognized innovator in the global education space, and contribute to our mission of empowering educators and students. For over 25 years, Turnitin has partnered with educational institutions worldwide to foster academic integrity, promote critical thinking, and enhance learning outcomes. As a Senior Machine Learning Scientist, you will play a pivotal role in developing and deploying cutting-edge AI solutions that shape the future of education.

Job Overview

Turnitin is seeking a highly skilled and experienced Senior Machine Learning Scientist to join our dynamic, remote team. This role will involve designing, developing, and implementing advanced machine learning models and algorithms to address complex challenges in educational technology. You will collaborate with cross-functional teams to translate research into impactful product features, driving innovation and delivering exceptional value to our global user base.

Key Responsibilities

  • Design, develop, and deploy sophisticated machine learning models for diverse applications, including natural language processing, predictive analytics, and content analysis.
  • Conduct rigorous experimentation, evaluate model performance, and iterate on solutions to optimize accuracy and efficiency.
  • Collaborate with product managers and engineers to integrate ML solutions into production systems.
  • Stay abreast of the latest research and advancements in machine learning and AI.
  • Mentor junior scientists and contribute to the technical vision of the ML team.

    • Requirements

  • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • 5+ years of professional experience in machine learning or AI research and development.
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proven experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
  • Excellent problem-solving skills and ability to work independently in a remote environment.

    • What We Offer

  • Opportunity to work on impactful projects that shape the future of education.
  • A collaborative and innovative work environment.
  • Competitive compensation and benefits package.
  • Flexible remote work arrangements.
  • Continuous learning and professional development opportunities.

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