Remote Research Scientist: CS & Computational Physics

GoldenFlame

Los Angeles (CA)

Remote

USD 83,000 - 152,000

Part time

41 hours ago
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Job summary

GoldenFlame is seeking a Research Scientist in Computer Science & Computational Physics to join a flexible contractor team. You will apply domain knowledge to train next-generation AI systems, guide learning, reasoning, and performance through rigorous real-world input, with remote work and flexible Part-Time or Full-Time arrangements.

In this role, you will identify open problems, run structured research with frontier AI models, verify results, assess novelty against literature, document

Qualifications

  • PhD-level training in CS or computational physics, or near completion.
  • Strong publication record in top venues within recent years.
  • Experience working with frontier models and formal tools in research.

Responsibilities

  • Identify and propose open problems, new bounds, or tractable research challenges in your subfield for rigorous investigation.
  • Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run computational simulations.
  • Systematically verify research outputs by checking proofs, reproducing numerical results, or employing formal tools.
  • Assess findings for novelty and correctness in direct comparison with recent literature and published results.
  • Document methodologies, partial results, and encountered challenges through clear and thorough written reports.
  • Highlight promising new directions and discoveries for deeper exploration by senior research professionals.

Skills

Computational methods
Numerical analysis
Algorithmic implementation
Frontier models

Education

Late-stage PhD candidate / postdoctoral researcher in CS or computational physics

Tools

Lean
SAT/SMT solvers

Job description

GoldenFlame is seeking a Research Scientist in Computer Science & Computational Physics to join a flexible contractor team. You will apply domain knowledge to train next-generation AI systems, guide learning, reasoning, and performance through rigorous real-world input, with remote work and flexible Part-Time or Full-Time arrangements.

In this role, you will identify open problems, run structured research with frontier AI models, verify results, assess novelty against literature, document

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