Machine Learning Engineer
point72 · New York
- Posted
- 19 days ago
- Last confirmed live
- 2 days ago
What this role involves
This role applies AI technologies to high-frequency trading, including developing a production support AI agent and collaborating with the AI research group on synthetic data generation and MCP agents. It requires a PhD in machine learning or a related field, with expertise in sequential modeling, deep learning, and programming in Python and R.
Skills this posting asks for
- sequential modeling
- time series forecasting
- deep learning
- deep neural networks
- representation learning
- python
- r
- tensorflow
- pytorch
- agent engineering
- context engineering
- natural language processing
- synthetic data generation
- mcp agents
From the employer’s posting
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 wid…
Read the full description on point72’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at point72
- 2027 Cubist Quant Academy – DevelopersNew York
- Quantitative Developer InternNew York
- Machine Learning Infrastructure Engineer, GenAI Technology New York, NY
- Product Designer, Knowledge Graph IntelligenceStamford, CT
- GenAI Security EngineerNew York, NY
- Data Engineer, Knowledge Graph New York, NY