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About the role
Pioneering Intelligence is building an autonomous system capable of exploring large scientific and computational search spaces. A central challenge in this effort is designing algorithms that can generate, evaluate, refine, and recombine candidate solutions over many iterative cycles, continuously improving their performance while maintaining exploration of novel directions. We are looking for a Senior Principal Scientist to invent and build the next generation of evolutionary algorithms.
What they're looking for
- Demonstrated ability to design novel algorithms from first principles and bring them to working, validated implementations
- Strong software engineering skills and comfort running computational experiments at scale (parallel/distributed execution of many model evaluations)
- A record of scientific leadership recognized by the field — for example, first-author work at top-tier venues (e.g., NeurIPS, ICML, ICLR), influential publications, or widely adopted open-source tools
- Experience applying these methods to biological, scientific, or other mechanistic-modeling domains is highly desirable
- Ability to operate as a senior IC: setting technical direction, collaborating across research and engineering, and mentoring junior colleagues
More about this role
Pioneering Intelligence is building an autonomous system capable of exploring large scientific and computational search spaces. A central challenge in this effort is designing algorithms that can generate, evaluate, refine, and recombine candidate solutions over many iterative cycles, continuously improving their performance while maintaining exploration of novel directions. We are looking for a Senior Principal Scientist to invent and build the next generation of evolutionary algorithms.
In this role you will develop methods that enable populations of models, hypotheses, programs, or scientific representations to evolve over time through iterative search, selection, variation, and evaluation. Your work will draw on ideas from evolutionary computation, Bayesian inference, reinforcement learning, optimization, and automated scientific discovery. You will help define how AI systems navigate vast spaces of possible solutions — balancing exploration and exploitation, preserving diversity, and discovering novel approaches that would be difficult to identify through conventional optimization alone. This is a senior individual-contributor role with significant scientific latitude and...
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