Technical Staff Member, Research

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FirstPrinciples

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🔬 Science

☁️ SaaS

Artificial Intelligence • Science • SaaS

FirstPrinciples is a research company building AI systems for discovery in fundamental science. It develops domain-specialized models and tools (branded Theo: Theo Collaborator, Theo Conjecture, and Theo, the AI Physicist) to assist the scientific process—hypothesis generation, symbolic reasoning, tool integration, validation loops, and reproducible research objects. The company emphasizes transparency, stewardship of knowledge as a public good, and alignment with the scientific community. Technical claims include multiple fine-tuned models across physics domains, a model family with 120B+ parameters trained on a curated corpus of 3M+ scientific papers, and internal experiments in areas like quantum information.

📋 Description

• Research, design, and test novel, research‑specific model architectures that integrate academic literature, natural language processing (NLP), symbolic reasoning, and other methods to orchestrate the scientific process. • Prototype and build custom tokenizers for LaTeX symbols and physical units to be treated as tokens. • Explore alternatives to transformers through in-depth research and provide practical recommendations for model development. • Develop reinforcement-learning loops to enable models to run independent and internal thought experiments. • Design and automate data ingestion pipelines in collaboration with our Data Scientists & Engineers that aggregates science literature, metadata, experimental data, equations and other data sources in a robust and scalable manner. • Establish custom benchmarks to assess the models’ understanding of physical concepts, mathematical reasoning abilities, and ability to minimize hallucinations for the benefit of scientific reliability. • Refine and release datasets and baselines once internal tests are stable. • Run and track model training jobs while leading the technical team through set-up, monitoring progress, and constraining costs within budget. • Develop approaches to stage “practice runs” in a sandbox environment to develop the model’s abilities to explore ideas independently while logging results for later review. • Develop a framework to evaluate the models’ learning using visual and statistical tools to spot patterns and blind spots. • Add guard-rails and tests that flag poor quality model output. • Maintain internal tools to track lists of known issues, noting failures, clear fixes, and improvements to be integrated into future development. • Work with the engineering team to ensure product feasibility and robust architecture. • Translate technical trade-offs to non-technical stakeholders in clear terms. • Present findings in clear updates to the technical team in order to keep the broader team appraised of progress against research milestones.

🎯 Requirements

• Educational Background: PhD in physics, computer science, data science, information systems, or related field. • Experience: Proven track record of conducting in-depth research on scientific AI models, symbolic models, machine learning or deep learning for scientific discovery. • Technical Skills: Familiarity with SOTA models, best practices in model development processes, in-depth AI/ML concepts, and data infrastructure. • Collaboration & Communication: • 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. • Bonus Skills: • 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.

🏖️ Benefits

• Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.