Collaborate with the team on machine learning experiments across order book analysis, alert detection, and sequential financial data
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
Raise the engineering bar through rigorous code review, architecture guidance, and mentorship of junior and mid-level engineers
Design and develop production-quality, test-driven Python code
Develop explainability and process-compliance solutions for AI and ML
Effectively track and evaluate ML model performance across training, validation, inference, and monitoring
Work in both on-premises and cloud environments
Work closely with complementary engineering teams
Produce clear and thorough documentation, including ML proposals, experiment specifications, technical design, and testing scenarios
Communicate technical information clearly and concisely to both technical and end-user audiences

Requirements

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
Experience with production software development practices: version control, automated testing, CI/CD
Experience with containerized workflows (Docker)
Demonstrated ability to mentor other engineers and influence engineering culture on a team
Excellent written and verbal communication skills

Benefits

Fair and competitive salary and incentive compensation packages with an upside for overachievement
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
2:1 401(k) match, up to 8% match immediately upon hire
Discounted Employee Stock Purchase Plan
Tax Savings Accounts for health, dependent and transportation
Employee referral bonus program
Volunteer opportunities to help you give back to your communities
Complimentary lunch, snacks and coffee in any Cboe office
Paid Tuition assistance and education opportunities
Generous charitable giving company match
Paid parental leave and fertility benefits
On-site gyms and discounts to other fitness centers

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonSQLdata pipelinesML model performanceautomated testingCI/CDcontainerized workflowsAI agent systemstest-driven development

Soft Skills

mentorshipcommunicationcollaborationarchitecture guidancecode reviewinfluence engineering culturedocumentationclear communicationteamworkproblem-solving