Research Scientist - Computer Science - Remote
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-10-16
New York, New York County, New York, 10261, USA
Listing for:
YO AI Labs
Full Time, Part Time, Remote/Work from Home
position Listed on 2026-10-16
Job specializations:
-
Research/Development
AI Business & Operations, Research Scientist, Data Scientist, AI Evaluation
Job Description & How to Apply Below
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.
- 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.
- 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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