Machine Learning Research Scientist

Lead algorithmic machine learning research in a short, high-priority pilot that assembles a small group of world-class researchers to produce original, frontier ML results on an accelerated timeline. This role emphasizes algorithmic innovation rather than applied analytics and requires fast turnaround. Key Responsibilities

• Join a small, focused research team for an initial pilot engagement.
• Conduct original ML research that advances algorithms and theory rather than only applied analytics.
• Design experiments, implement prototypes, analyze results, and iterate rapidly.
• Deliver initial data and results by Monday / Tuesday 27th July.

• PhD in Machine Learning, Computer Science, AI, or a closely related field.
• At least one main-conference publication at ICML, NeurIPS, or ICLR.
• Strong preference for candidates with two or more publications at those venues.
• Demonstrated experience conducting original ML research.

Preferred Research Areas

• Reinforcement Learning.
• Meta-Learning.
• Recursive self-improvement.
• AI for Science, for example weather forecasting, protein modeling, or scientific discovery., Successful candidates will have a proven record of advancing state-of-the-art machine learning through top-tier conference publications and deep expertise in frontier ML research. While rapid sourcing is important, selection prioritizes quality of research contributions. Eligibility
• Must hold a PhD in a relevant field.
• Must have at least one main-conference publication at ICML, NeurIPS, or ICLR, with preference for candidates who have two or more such publications.

$60 - $100 hourly. Timeline & Availability

• Priority: Urgent.
• Accelerated timeline, with initial data/results expected by Monday / Tuesday 27th July.
• Speed of sourcing and ability to deliver quickly are critical.