Description
Poesis is hiring a Machine Learning Engineer to develop models, signals, and evaluation frameworks that support investment decision-making. The role covers the full machine learning lifecycle, including experimentation, model and agent development, reproducible workflows, production deployment, and iteration, with significant ownership of research and production outcomes. The position is hybrid, requiring three days per week onsite in Menlo Park, California, and offers medical, dental, and vision coverage.
