YO AI Labs
Research Scientist - Computer Science - Remote
Skills
10 days ago
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Important information
Contract type:
Freelance / Contract
Location:
New York, NY, USA
Work mode:
Remote
Published on:
17 October 2026
What they need
Role Title: Research Scientist – Computer Science & Computational Physics
Role Type: Contractor (Part-Time or Full-Time)
Location: Remote
Schedule: Flexible
We are seeking Research Scientists in Computer Science or Computational Physics to support an advanced AI research project. You'll use frontier AI models and computational tools to investigate open problems, develop algorithms, validate results, and evaluate scientific discoveries. No prior AI experience is required.
Key Responsibilities
- Identify open problems, theoretical bounds, and research challenges suitable for rigorous investigation.
- Use AI models and agents to explore proofs, develop algorithms, and conduct computational simulations.
- Verify research outputs through proof checking, numerical reproduction, and formal tools.
- Evaluate findings for novelty and correctness against recent scientific literature.
- Document research methods, partial results, and challenges in clear reports.
- Identify promising discoveries and research directions for further exploration.
Required Qualifications
- Late-stage PhD, postdoctoral, or early-career academic experience (0–5 years post-PhD) in computer science or mathematical/computational physics.
- Strong research record, including recent publications in leading conferences or journals.
- Expertise in computational methods such as simulation, numerical analysis, and algorithm implementation.
- Ability to assess research findings rigorously and compare them with existing literature.
Preferred Qualifications
- Research recognition, such as best paper or dissertation awards at leading venues like STOC, FOCS, SODA, PLDI, or SC.
- Experience reviewing or sub-reviewing for prominent conferences.
- Familiarity with frontier AI models, research agents, and formal tools such as Lean or SAT/SMT solvers.
- A publicly available research statement or homepage outlining open problems under investigation.
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