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Senior Machine Learning Scientist - Remote

Posted 22 weeks ago
Software Development
Full Time
Worldwide

Overview

As a Senior Machine Learning Scientist at Turnitin, you will be part of a global team dedicated to integrating cutting-edge Machine Learning systems into educational products, impacting millions of students worldwide.

In Short

  • Join a remote-first culture focused on education innovation.
  • Work with a diverse team of scientists and engineers.
  • Focus on model training, dataset construction, and model hardening.
  • Utilize and fine-tune Language Models and Machine Learning models.
  • Collaborate with product and engineering teams.
  • Stay current with research and experiment with new architectures.
  • Write clean, efficient, and modular code.
  • Communicate insights and model behaviors effectively.
  • Contribute to a mission-driven organization.
  • Enjoy a comprehensive benefits package.

Requirements

  • Experience with text data and building ML models.
  • Strong understanding of machine learning theory.
  • 3-5 years of software engineering experience.
  • Proficiency in Python, SQL, and Unix-based systems.
  • Experience with AWS SageMaker, PyTorch, and Hugging Face.
  • Master's or PhD in a relevant field.
  • Excellent communication and teamwork skills.
  • Fluency in English.

Benefits

  • Remote-first culture.
  • Health care coverage.
  • Education reimbursement.
  • Competitive paid time off.
  • Self-care days and national holidays.
  • Paid volunteer time.
  • Retirement plan with match.
  • Access to mental health resources.
Turnitin logo

Turnitin

Turnitin, LLC is a leading educational technology company that specializes in academic integrity and plagiarism detection solutions. Founded in 1998, Turnitin provides tools and services that help educators and students improve writing skills, ensure originality, and foster a culture of academic honesty. The company's innovative software is widely used by educational institutions around the world to enhance learning outcomes and maintain the integrity of academic work.

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