Student Researcher: Generative AI

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