Location:
Remote Years of

Experience:
1 + Year Notice period : Immediate joiner Noted : PhD Pursuing in AIML About the Project We are seeking qualified Machine Learning (ML) researchers to participate in Project Shasta, a research survey designed to capture the research journey behind accepted machine learning papers. Selected contributors will document the motivation, hypotheses, experiments, challenges, failed approaches, key decisions, unexpected findings, and lessons learned during their research. The goal is to capture valuable insights that may not be fully reflected in the published paper.

Key Responsibilities
• Complete approximately 10 open ended questions for each qualifying research paper.
• Describe the original research motivation, hypotheses, and experimental approach.
• Share insights into failed experiments, alternative approaches, and key research decisions.
• Explain unexpected observations and lessons learned throughout the research process.
• Ensure all responses are accurate, comprehensive, and grounded in personal research experience.
• Submit responses within the project timeline and comply with all confidentiality and data-sharing requirements.



Eligibility Criteria Candidates must meet all mandatory eligibility

requirements:
• Be the first author of a paper accepted at the main conference of ICML, NeurIPS, or ICLR between 2024 and 2026.
• Have direct, hands-on experience in machine learning research.
• Possess advanced academic or research experience in Machine Learning, Computer Science, Statistics.
• Preferred profiles: PhD completed and pursuing candidates Key: Workshop papers and co-authorship including equal contribution second authorship do not qualify. International candidates are welcome. Quality, Confidentiality, and Compliance
• Responses must be original, complete, and based on the contributor’s own research experience.
• Use of LLMs is strictly prohibited when completing the survey.
• Contributors must not disclose unpublished research, confidential information, personal contact details, or sensitive personal information.
• Contributors must acknowledge that their name, paper citation, and survey responses will be shared with the client. Interested Share your resume to [email protected]

📌 Phd Researcher Assistant (India)
🏢 Infocareer
📍 India