### Overview We're looking to rapidly assemble a small group of world-class machine learning researchers for an initial pilot. This is a high-priority engagement with an accelerated timeline, so both exceptional candidate quality and fast turnaround are critical. We're specifically seeking researchers with demonstrated contributions to frontier ML research, particularly those driving algorithmic innovation rather than applied analytics. ### Candidate Requirements **Required Qualifications** - PhD in Machine Learning, Computer Science, AI, or a closely related field - Published **at least one** main conference paper at **ICML, NeurIPS, or ICLR** - Strong preference for candidates with **2+ publications** at these venues - Demonstrated experience conducting original ML research **Preferred Research Areas** - Reinforcement Learning (RL) - Meta-Learning - Recursive Self-Improvement - AI for Science (e.g. weather forecasting, protein modeling, scientific discovery) ### Timeline **Priority:** Urgent **Expected Schedule** - Initial data/results: **Monday / Tuesday 27th July** * * * ### Success Criteria Candidates should have a proven record of advancing state-of-the-art machine learning through publications at top-tier conferences and possess deep expertise in frontier ML research. Speed of sourcing is important, but quality should not be compromised.
Remote ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) - AI Trainer ($60-$100 per hour) • Union City, California, US
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