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Product Management Intern - Summer 2024

🚀 Off-cycle Internship


🤑 $61.9K - $94.9K

AI generated summary

  • You possess skills in data science, machine learning, and programming in python. You excel in research, problem-solving, teamwork, and communication. Your curiosity and creativity drive you to explore new challenges.
  • You will analyze and compare RAG stack components, develop algorithms to enhance LLM performance, apply methods to real-world datasets, and present findings to the team.

Off-cycle Internship



  • In addition, you will join our comprehensive University Talent Program that fosters personal as well as professional growth, thoroughly preparing interns for the next step in their careers. Juniper internships are project-based, allowing interns to solve important problems, make lasting impacts on their teams, and contribute to the company’s overall objectives. Interns are mentored by some of the most talented and skillful innovators in the industry; you will connect with transformative thought leaders who promote disruptive ideas in their field. You will also participate in constructive professional workshops, company-wide community service initiatives, and an executive speaker series. You’ll build lasting friendships, expand your network, and connect with colleagues from around the world.
  • At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.


  • Data science, Machine Learning, Large Language Models, RAG expertise
  • Programming in python, experience with popular frameworks and libraries for data science and machine learning
  • Ability to conduct independent research, problem-solving and critical thinking.
  • Ability to work effectively in a team and communicate clearly and professionally.
  • Curiosity, creativity and enthusiasm for learning new things quickly and exploring new challenges.

Area of Responsibilities



  • Conduct a technical deep dive on the overall RAG (Retrieval Augmented Generation) stack used in current Juniper LLM solution.
  • Compare each component in the stack with alternative solutions (both Open Source and off-the-shelf RAG-aaS/LLM-aaS vendors)
  • Evaluate and compare your results with existing baselines and benchmarks and identify areas of improvements.
  • Identify if/where are critical areas of product differentiation for Juniper in operating in-house RAG/LLM stack vs leveraging off-the-shelf technology delivered by leading LLM-aaS vendors.
  • Develop and test new ideas and algorithms for improving the performance of our LLMs across existing and future use cases:
  • Juniper Public Documentation search
  • Text-to-SQL translation for analytics report
  • Customers private Data search
  • Apply your methods to real-world datasets and problems, such as question answering, summarization, dialogue.
  • Write code, documentation, and reports.
  • Present and communicate your work to the team and external collaborators.


Work type

Full time

Work mode





61875 - 94875 USD