Research Fellow

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🕒 January 15

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FirstPrinciples Holding Company

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

💸 Finance

B2B • Enterprise • Finance

FirstPrinciples Holding Company focuses on building and scaling a portfolio of successful commercial businesses. The company leverages strategic insight and operational expertise to maximize value and growth within its portfolio companies. FirstPrinciples aims to provide sustainable solutions that drive long-term success for its partners and stakeholders.

📋 Description

• Improve Theo’s ability to produce scientifically sound, high-quality outputs in 2026; • Introduce new ideas, methods, and approaches that meaningfully shift system performance; • Bring deep domain expertise (PhD+ level) in one or more targeted research areas. • Research, design, and test novel model architectures that combine academic literature, NLP, symbolic reasoning, and structured scientific workflows. • Prototype and build embedding representations for physical concepts, mathematical objects, and logical structures, enabling models to reason over equations, abstractions, and scientific constraints rather than surface text alone. • Investigate alternatives to transformer-based architectures and deliver concrete recommendations. • Design and run targeted experiments to evaluate new architectural ideas, using empirical results to guide the development of next-generation model architectures. • Develop reinforcement learning loops that enable models to run internal and independent thought experiments. • Design and automate scalable data ingestion pipelines that aggregate scientific literature, metadata, equations, and experimental data. • Create custom benchmarks to measure physical understanding, mathematical reasoning, and failure modes in scientific reasoning and abstraction. • Refine and release curated datasets and baselines once internal validation is complete. • Run and track model training jobs while managing compute usage and budget constraints. • Design sandbox environments for controlled autonomous exploration. • Build evaluation frameworks using visual and statistical tools to identify strengths and blind spots. • Implement tests and guardrails that flag low-quality or unsafe outputs. • Maintain internal issue tracking with clear failure modes and fixes. • Work closely with engineers to ensure research is feasible and production-ready. • Communicate technical trade-offs clearly to non-technical stakeholders. • Present regular research updates tied to defined milestones.

🎯 Requirements

• PhD or postdoctoral researchers in Computer Science, Machine Learning, Theoretical Physics, or a closely related field. • Track record of research in either: • model architectures, representation learning, or reasoning systems (CS/ML path); or • mathematical, physical, or formal reasoning applied to fundamental problems (physics path). • Demonstrated ability to translate abstract theory into testable computational systems. • Comfortable working across disciplinary boundaries.

🏖️ Benefits

• Fixed stipend for the full term • Fully remote