Machine Learning Research Scientist for ICML/NeurIPS/ICLR Publications

This role brings together a small, elite team of machine learning researchers to drive frontier algorithmic research during an accelerated pilot. The focus is on original research and algorithmic innovation, not applied analytics. Fast turnaround and exceptional research quality are essential.

• Conduct original, publication-quality machine learning research focused on algorithmic advances.
• Drive and contribute to a rapid pilot project, delivering initial data and results according to an accelerated schedule.
• Prioritize algorithmic innovation over applied analytics, producing research outputs at a level suitable for top-tier conferences.
• Collaborate closely with a small team of researchers to iterate quickly and meet urgent milestones.

• PhD in Machine Learning, Computer Science, Artificial Intelligence, or a closely related field.
• At least one main conference publication at ICML, NeurIPS, or ICLR is required.
• Strong preference for candidates with two or more publications at ICML, NeurIPS, or ICLR.
• Demonstrated track record of conducting original ML research that advances state of the art.
• Preferred research areas include Reinforcement Learning, Meta-Learning, Recursive Self-Improvement, and AI for Science such as weather forecasting, protein modeling, or scientific discovery.

• Location: Remote.
• Engagement type: Hourly contract.
• Pilot is high priority with an accelerated timeline, speed of delivery is critical.
• Expected initial data and results milestone: Monday / Tuesday 27th July.
• Placement and continued engagement depend on project needs and available work during the pilot.

• Rate: $60 to $100 per hour.

• Candidates must meet the listed academic and publication qualifications to be considered.