Machine Learning Research Scientist for AI Model Innovation

This role offers an exciting opportunity to join a focused team of elite machine learning researchers for a high-priority pilot project. The engagement demands exceptional candidate quality and a rapid turnaround, emphasizing contributions to cutting-edge ML research, particularly in algorithmic innovation.

• Conduct original machine learning research that advances state-of-the-art methodologies.
• Collaborate with a small team of researchers to drive innovation in the field.
• Deliver initial data and results by the specified timeline.

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 or more publications at these venues.
• Demonstrated experience in 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)

Employment Type: Hourly

Hourly rate ranges from $110 to $145.

This position is remote and open to candidates with the required qualifications.

Priority: Urgent. Initial data/results are expected by Monday/Tuesday, July 27th.

Success in this role will be measured by the ability to advance machine learning research through high-quality publications and expertise in frontier ML research, with an emphasis on both speed and quality in sourcing candidates.