Machine Learning Engineer

About CubistCubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.Role/Responsibilities:We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team.This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.Requirements: PhD or PhD candidate in machine learning, computer science or other AI related research fieldsExperience with sequential modeling and time series forecasting using deep learningExperience with deep neural networks and representation learningPrior experience working in a data driven research environmentExperience with translating mathematical models and algorithms into codeProficiency in programming languages such as Python and RExperience with machine learning software libraries such as TensorFlow or PyTorchExperience implementing Agent or Context engineering is strongly preferredExperience with natural language processing technology is strongly preferredExcellent analytical skills, with strong attention to detailCollaborative mindset with strong independent research abilityStrong written and verbal communication skillsCommitment to the highest ethical standards