Student Researcher: Generative AI

Pendulum Systems; Seattle (WA); Hybrid; USD 30,000 - 50,000; Part time

Job summary

Pendulum Systems is looking for a highly motivated Student Researcher in Seattle, WA to work on innovative AI solutions for supply chain optimization. This role involves developing LLMs, collaborating with renowned AI experts, and contributing to impactful research that addresses real-world challenges. Candidates must be current Master's or PhD students in Machine Learning or related fields and possess strong programming and problem-solving skills. Join us to help make a difference!

Qualifications

• Master's or PhD student in Machine Learning or a related discipline.
• Strong understanding of CS, ML, and Statistics.
• Proficiency in Python, especially with AI libraries.

Responsibilities

• Develop and fine-tune LLMs for agentic tasks in supply chain optimization.
• Collaborate remotely with AI and optimization leaders.
• Document and publish work at high-impact conferences.

Skills

Open-mindedness

Solid communication skills

Problem-solving skills

Proficiency in Python

Understanding of CS, ML, and Statistics

Education

Current Master's or PhD student in Machine Learning or related discipline

Tools

Common AI libraries

GPU computing

Job description

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‑tune 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‑tune 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