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🚀 Internship

AI/ML Data Science Intern

Logo of Intuitive


18d ago

🚀 Off-cycle Internship

San Francisco

AI generated summary

  • The candidate must be currently enrolled in a degree-seeking program in Computer Science or a related field, have a basic understanding of machine learning concepts, familiarity with Python programming and SQL, a strong desire to learn and grow in data science and AI/ML, and excellent communication and teamwork skills.
  • The AI/ML Data Science Intern at Intuitive will support data exploration and preprocessing, develop machine learning models, collaborate with team members to integrate AI technologies, assist in monitoring deployed models, and document findings and progress for regular team meetings.

Off-cycle Internship

DataSan Francisco


  • As an AI/ML Data Science Summer Intern, you will assist in exploring and applying basic machine learning techniques to real-world business challenges, including the deployment of Generative AI technologies. This role offers an opportunity to gain hands-on experience in the cutting-edge field of AI and ML, contributing to the integration of Generative AI technologies in practical applications. The internship is designed to provide a platform for learning, experimentation, and contribution to ongoing projects under the guidance of experienced data scientists.


  • University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
  • Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.
  • Skills, Experience, Education, & Training:
  • Current enrollment in a in Computer Science, Data Science, Engineering, or related degree-seeking program at the Bachelor’s or Master’s level.
  • Basic understanding of machine learning concepts and algorithms.
  • Familiarity with Python programming and SQL.
  • Strong desire to learn and grow in the field of data science and AI/ML.
  • Excellent communication and teamwork skills.

Education requirements

Currently Studying

Area of Responsibilities



  • Support data exploration and preprocessing activities.
  • Participate in the development and implementation of basic machine learning models under supervision.
  • Collaborate with team members to integrate machine learning models and Generative AI technologies into business applications.
  • Assist in the monitoring and maintenance of deployed ML models.
  • Document and present findings and progress in regular team meetings.


Work type

Full time

Work mode



San Francisco