Student assistant position: Python developer for LLM training

Are you fascinated by the developments in the field of Artificial Intelligence (AI) and how they shape our digital world? Do you have a knack for writing Python code and shell scripting that can solve complex problems efficiently?

If your answer is yes, then we have an exciting opportunity for you!

Project Description

At the DICE group, we are at the forefront of AI research, with a mission to democratize access to advanced language models. We believe in empowering communities around the world by creating open-source solutions that can bridge the digital divide. While we have been working on research and development of multilingual systems for years, our recent project, LOLA (An Open-Source Massively Multilingual Large Language Model), represents a significant milestone in this journey. Trained on over 150 languages with a highly compute-efficient architecture, LOLA sets a new standard for multilingual language modeling. Building on this success, we plan to expand LOLA's capabilities to support more than 500 languages and continue exploring advanced architectures in our future models.

Job Description

As part of our project, you’ll contribute to the entire lifecycle of developing a large language model designed to support over 500 languages, from initial design and data collection to training, evaluation, and deployment. This is your chance to work on cutting-edge technology, gain hands-on experience, and collaborate with our experts in the field.

Job Title: Part-Time Student Developer (Bachelor/Master)
Hours: 10-19 hours per week

Expectations from Candidates

  • A deep interest in AI, Machine Learning, and Natural Language Processing.
  • Strong Python programming and shell scripting skills.
  • A willingness to learn and grow in a fast-paced environment.

What We Offer

  • The opportunity to work on a groundbreaking open-source project.
  • Hands-on experience working with high-performance computing clusters and supercomputers.
  • Flexible working hours to fit your student responsibilities and schedule.
  • Valuable experience and mentorship to enhance your skills.

If you’re ready to make an impact and take your skills to the next level, we’d love to hear from you!

To apply for this position, please fill out this form: application form .

If you have any questions regarding the role, please feel free to write to: Nikit Srivastava