Cboe
Senior Engineer - Machine Learning - Regulatory
Chicago, IL · Senior
No sponsorship$154k-$200kDetected 12 days ago
PythonFull-Stack DevelopmentCode ReviewSQLBigQuerySnowflakeDatabricksCloud PlatformsDockerCI/CDRESTMachine LearningDeep LearningPyTorchscikit-learnData EngineeringNLPLLMsMLOpsAI OrchestrationA/B TestingExcelTest AutomationLeadership
About the role
- Cboe Global Markets is the world's go-to derivatives and exchange network, providing trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets.
- Cboe's Regulatory Division directly contributes to the company's success by promoting fair, transparent, and trusted markets, through effective and efficient market oversight.
- We operate surveillance, examination, and investigative programs aimed at detecting and disciplining, or preventing, violative behavior.
Responsibilities
- Develop and operate AI agent systems in production, applying ML engineering discipline to nondeterministic LLM-based software development workflows
- Own and evolve the team's ML training and deployment infrastructure on Snowflake
- Build production-quality data pipelines for processing terabytes of daily financial market data
- Design and develop production-quality, test-driven Python code
- Develop explainability and process-compliance solutions for AI and ML
- Produce clear and thorough documentation, including ML proposals, experiment specifications, technical design, and testing scenarios
- PyTorch, custom training loops, architecture design and experimentation, multi-GPU distributed ML, experiment tracking, model lifecycle management
Requirements
- Experience with containerized workflows (Docker)
- Demonstrated ability to mentor other engineers and influence engineering culture on a team
- Experience with production software development practices: version control, automated testing, CI/CD
Nice to have
- Bachelor's degree in a quantitative field
- 5 + years of professional software engineering experience, primarily in Python
- Strong SQL skills and experience working with large-scale datasets
- Production ML experience where you've trained, deployed, and monitored models at scale
- Experience with at least one enterprise cloud data platform (Snowflake, Databricks, BigQuery, or similar) including working within complex RBAC and governance constraints
Skills
- Building trusted markets - powered by our people
- Our teams are empowered to share ideas, actively pursue them and bring on a challenge.
- Location Overview
- Cboe HQ is located in the historic Old Post Office district, i t' s a landmark that blends classic architecture with modern amenities.
Compensation
- Fair and competitive salary and incentive compensation packages with an upside for overachievement
Benefits
- and Perks of working for Cboe Global Markets
- We value the total wellbeing of our people - including health, financial, personal and social wellness.
- We believe standard benefits like health insurance and fair pay are a given at any organization.
- Generous paid time off, including vacation, personal days, sick days and annual community service days
- Health, dental and vision benefits, including access to telemedicine and mental health services
- Discounted Employee Stock Purchase Plan
- Tax Savings Accounts for health, dependent and transportation
- Employee referral bonus program
- Paid Tuition assistance and education opportunities
- Paid parental leave and fertility benefits
- Collaborate with the team on machine learning experiments across order book analysis, alert detection, and sequential financial data
- On-site gyms and discounts to other fitness centers
Equal opportunity
- We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or v eteran status.
- We are committed to fostering a workplace where all individuals are valued and respected.
- This position is not eligible for visa sponsorship.
- Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
Visa & Work Authorization
- This position is not eligible for visa sponsorship.
This listing is sourced directly from Cboe's careers page and normalized into a canonical job model.