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Student Researcher: Generative AI

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Job Description:

Pendulum Systems is searching for a highly motivated and detail-oriented Student Researcher to join our team. As a Student Researcher, you will have the opportunity to push the boundaries of the field in AI and in supply chains, by collaborating on building, designing and deploying cutting-edge AI agents. You will work on problems that have a direct impact on saving lives and on enabling organizations to generate ‘more with less’ – and optimize their available resources. The problems we address need a careful transformation of state-of-the-art machine learning techniques so they can be deployed to perform robustly, reliably, and safely in the real world.

  • Work on unique R&D questions that bring solutions to real-world problems
  • Develop and fine-tuning LLMs for ‘agentic’ tasks in supply chain optimization
  • Work with the engineering team to help deploy research POCs into production
  • Collaborate remotely with a diverse team of world-renowned AI and optimization leaders
  • Document and publish your work at high-impact machine-learning conferences

What we will do together:

  • Work on unique R&D questions that bring solutions to real-world problems
  • Develop and fine-tuning LLMs for ‘agentic’ tasks in supply chain optimization
  • Work with the engineering team to help deploy research POCs into production
  • Collaborate remotely with a diverse team of world-renowned AI and optimization leaders
  • Document and publish your work at high-impact machine-learning conferences

What you will need:

  • To be a current Master’s or PhD student in Machine Learning or a related discipline.
  • Open-mindedness and curiosity; a ‘can do’ attitude
  • Solid communication skills and collaboration experience
  • Fierce hacker mentality & a ‘demo-or-die’ mindset
  • Proficiency in Python, especially common AI libraries, and GPU computing
  • Strong understanding of CS, ML, and Statistics
  • Problem-solving skills and the ability to think critically

Desirable:

  • Publication or contributions to top-tier ML venues
  • Proficiency in NLP and mathematical optimization
  • Experience with finetuning and multi-agent LLMs