Member of Technical Staff | Machine Learning

At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We’re looking for a Member of Technical Staff (Machine Learning) to build the models, signals, and evaluation tools that make this possible. This is an opportunity to test new ideas against complex, real-world financial data and see the impact of your work on actual investment decisions.

• You’ve worked at a frontier AI lab, agentic startup, high-growth technology company, leading investment manager, or similar organization.
• You’ve developed, evaluated, and deployed ML models in production.
• You understand how models fail, how evaluation design shapes outcomes and how to distinguish promising results from noise.
• You have strong quantitative judgment and experience working with large, complex datasets.
• You can take ownership of open-ended research problems and use evidence to decide what to pursue next.