Member of Technical Staff, Research

The role

You will investigate, design, test and develop state of the art methods and applications for an AI engine. This role involves researching model architectures, building data pipelines, and running model training jobs.

What you will do

• Research, design, and test novel model architectures integrating NLP and symbolic reasoning
• Prototype and build custom tokenizers for LaTeX symbols and physical units
• Explore alternatives to transformers through in-depth research
• Develop reinforcement-learning loops for independent thought experiments
• Design and automate data ingestion pipelines
• Establish custom benchmarks to assess model understanding and reasoning
• Refine and release datasets and baselines
• Run and track model training jobs and manage costs
• Develop sandbox environments for model practice runs
• Develop frameworks to evaluate model learning using visual and statistical tools

Required qualifications

• PhD in physics, computer science, data science, information systems, or related field
• Proven track record of conducting in-depth research on scientific AI models, symbolic models, machine learning or deep learning for scientific discovery
• Familiarity with SOTA models, best practices in model development processes, in-depth AI/ML concepts, and data infrastructure
• Comfort working closely with engineers and other technical team members
• Strong written and verbal communication skills
• Comfortable working in a startup-style, cross-functional, remote team

Nice to have

• Has experience with or strong interest in physics and/or fundamental science topics
• Experience conducting research on AI models in an early-stage or mission-focused environment

Before you apply

• Submit resume, a cover letter detailing qualifications and vision, and references
• Include "Member of Technical Staff, Research" in the cover letter

About the company

FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality. They operate as a global nonprofit organization with a Canadian foundation and a US-based 501(c)(3).