ML Scientist Internship

New

Skills

Computer science Machine Learning Natural Language Processing Pytorch Scikit-learn Software Engineering TensorFlow

Join Coursera's Machine Learning team as an intern and help shape the future of hyper-personalized search and recommendation systems in online education. You will work on cutting-edge techniques to deliver relevant, personalized, and context-aware learning experiences, contributing to research and production systems that impact millions of learners worldwide.

Job Overview
  • Contribute to the development and maintenance of advanced recommendation and information retrieval systems.
  • Participate in research and innovation for personalized search and recommendations.
  • Stay up-to-date with the latest trends in machine learning and online education.
Key Responsibilities
  • Develop, deploy, and maintain recommendation ranking models using machine learning techniques.
  • Apply two-tower models, natural language processing (NLP), and learning-to-rank approaches.
  • Work collaboratively in cross-functional teams to address business needs and launch solutions.
  • Evaluate model performance using industry-standard metrics and provide actionable insights.
  • Support research projects with potential for publication in top conferences.
Required Skills & Qualifications
  • Currently pursuing a B.E./B.Tech or higher in Computer Science or related technical field.
  • Strong foundation in supervised and unsupervised machine learning algorithms.
  • Proficiency with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Experience through internships, coursework, or personal projects (e.g., Kaggle competitions).
  • Self-motivated, innovative, and able to work independently with a focus on impactful results.
  • Ability to return to academic program after the internship.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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