Point72
Overview
Join to apply for the
Machine Learning Engineer
role at
Point72 . 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 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. Qualifications
PhD or PhD candidate in machine learning, computer science or other AI related research fields Experience with sequential modeling and time series forecasting using deep learning Experience with deep neural networks and representation learning Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code Proficiency in programming languages such as Python and R Experience with machine learning software libraries such as TensorFlow or PyTorch Experience implementing Agent or Context engineering is strongly preferred Experience with natural language processing technology is strongly preferred Excellent analytical skills, with strong attention to detail Collaborative mindset with strong independent research ability Strong written and verbal communication skills Commitment to the highest ethical standards Compensation: The annual base salary range for this role is
$150,000-$200,000 (USD) , not including discretionary bonus or our comprehensive benefits package. Actual compensation may vary by location, experience, education, and skill level. Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology
#J-18808-Ljbffr
Join to apply for the
Machine Learning Engineer
role at
Point72 . 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 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. Qualifications
PhD or PhD candidate in machine learning, computer science or other AI related research fields Experience with sequential modeling and time series forecasting using deep learning Experience with deep neural networks and representation learning Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code Proficiency in programming languages such as Python and R Experience with machine learning software libraries such as TensorFlow or PyTorch Experience implementing Agent or Context engineering is strongly preferred Experience with natural language processing technology is strongly preferred Excellent analytical skills, with strong attention to detail Collaborative mindset with strong independent research ability Strong written and verbal communication skills Commitment to the highest ethical standards Compensation: The annual base salary range for this role is
$150,000-$200,000 (USD) , not including discretionary bonus or our comprehensive benefits package. Actual compensation may vary by location, experience, education, and skill level. Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology
#J-18808-Ljbffr