Cboe Global Markets is looking to hire a Machine Learning Intern to work on prototyping, training, testing, and validating machine learning models and LLM-driven applications for the surveillance of financial markets, processing terabytes of new data and trading patterns daily to detect violative behavior.
Requirements
- Understanding of a wide variety of machine learning algorithms, supervised and unsupervised, classical and deep learning, including modern large language models and their unique infrastructure requirements
- Fluency with advanced undergraduate-level mathematics, including statistics, linear algebra, and multivariable calculus, to the extent of being able to read and implement ideas found in published ML papers
- Familiarity with writing code to support the various lifecycle phases of machine learning projects such as training, validation, inference, and production monitoring
- Strong Python-based programming and data engineering skills
- Strong SQL knowledge (Snowflake experience is a plus)
- Experience with common data science and ML libraries, such as numpy, pandas, Spark, scikit-learn, TensorFlow, and PyTorch
- Experience configuring and using AI agents to assist with coding and research tasks
Responsibilities
- Train various candidate models to fit a given business problem
- Prepare data sets and design data features for ML input in conjunction with financial surveillance experts
- Effectively track and evaluate ML model performance during research phase
- Contribute creative ideas for problem solving during brainstorming discussions with ML team and users
- Receive and implement constructive feedback through rigorous code reviews, QA testing, and model evaluation
- Work in both on-premises and cloud environments
- Produce clear and thorough documentation for your research and analytical work
Other
- Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment.
- Ability to work both independently and as part of a team
- Excellent written and verbal communication skills
- Demonstrates critical thinking, attention to detail, and good judgment
- To be eligible for this internship, applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year.
