AI Research Scientist – Scientific Evaluation (ML/AI)
Jobgether (company site, opens in a new tab)RemoteDirect career pageEst. 40–70 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Evaluate AI-generated ML/AI research papers for scientific rigor, novelty, experimental design, and reproducibility against standards of top conferences like NeurIPS, ICML, and ICLR.
- Identify methodological flaws, unsupported claims, and inconsistencies, providing structured, evidence-based evaluations with clear justifications.
- Apply detailed assessment rubrics independently to determine if AI-generated research meets leading scientific standards and contributes genuine advances.
Minimum Requirements
- PhD in Machine Learning, AI, Computer Science, Statistics, or closely related field, or equivalent research expertise.
- At least three peer-reviewed research publications at NeurIPS, ICML, and/or ICLR (mandatory).
- Extensive hands-on ML/AI research experience including developing methods, designing experiments, and publishing original research.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Accomplished ML/AI researcher with strong publication record including first-author or significant contributions at leading ML/AI conferences.
- Deep familiarity with scientific methodology, reproducibility standards, and experimental rigor relevant to ML/AI research.
- Experience reviewing papers for top ML/AI conferences and ability to critically assess technical, experimental, and literature aspects of advanced research.