Machine Learning Intern

2 weeks ago

Chicago, Illinois, United States Cboe Digital Full time
Job Description

Cboe Global Markets is seeking a highly motivated and detail-oriented Machine Learning Intern to join our Regulatory Technology team. As a Machine Learning Intern, you will work on prototyping, training, testing, and validating ML models and applications for the surveillance of financial markets, which generate terabytes of new data and trading patterns every day.

Responsibilities and Learning Objectives
  • Develop and train various machine learning models to fit a given business problem
  • Prepare data sets and design data features for ML input
  • Effectively track and evaluate ML model performance during the research phase
  • Contribute creative ideas to problem-solve with ML techniques during brainstorming discussions with the ML team and users
  • Receive and implement constructive feedback through rigorous code reviews and QA testing
  • Work in both on-premises and cloud environments
  • Produce clear and thorough documentation for your research and analytical work
  • Communicate technical information clearly and concisely to an end-user audience
  • Learn best practices in software engineering and ML research
Requirements
  • Understanding of a wide variety of machine learning algorithms, supervised and unsupervised, classical and deep learning, and their unique infrastructure requirements
  • Familiarity with machine learning best practices in training, validation, inference, and monitoring
  • Strong Python-based programming and data engineering skills
  • Strong SQL knowledge
  • Experience with common data science and ML frameworks, such as NumPy, pandas, Spark, scikit-learn, TensorFlow, and PyTorch
  • Experience with large-scale data sets
  • 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
  • Bachelor's or Master's degree in progress in a quantitative field and should not be scheduled to graduate before December of the year in which the internship takes place
Preferred Qualifications
  • Knowledge of advanced undergraduate-level mathematics, including statistics, linear algebra, and multivariable calculus
  • Knowledge of relevant graduate-level mathematics, such as stochastic methods and numerical analysis
  • Experience in production software development environments, including version control, automated testing, and change management
  • Experience with test-driven development
  • Experience with distributed ML frameworks
  • Familiarity with AWS
  • Familiarity with Snowflake
  • Experience in the financial services sector
  • Experience in highly regulated industries
Benefits and Perks
  • Competitive compensation
  • Flexible, hybrid work environment, 3 days in office, 2 days remote, per week
  • 2:1 401(k) match, up to 8% match immediately upon hire

Cboe Global Markets is an equal opportunity employer and celebrates the diversity in our communities, inside and out. We're proud to be an inclusive and engaged team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

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