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Point72
Apply the latest AI technologies to solve real-world problems and streamline day-to-day operations, including creating production support AI agents, and collaborate with the AI research group on projects like synthetic data generation and workflow automation.
Requires a PhD or PhD candidate in machine learning or computer science, experience with sequential modeling, time series forecasting using deep learning, deep neural networks, and proficiency in Python/R with ML libraries like TensorFlow/PyTorch.
About Cubist
Cubist 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:
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AI Est. Total Comp
$350,000
Location
New York
Work Type
On-site
Seniority
mid
Experience
0-2 years
Category
ML Engineering
Visa Sponsorship
Unknown
Quality Score
8.3