Senior Engineer - Machine Learning - Regulatory
Cboe Global Markets4 days ago
Base Salary
$154k - $200k/yr
Responsibilities
- Collaborate on machine learning experiments involving order book analysis, alert detection, and sequential financial data.
- Develop and operate AI agent systems in production using disciplined LLM-based software engineering workflows.
- Own and evolve ML training and deployment infrastructure on Snowflake.
- Build production data pipelines processing terabytes of financial market data daily.
- Design and develop production-quality, test-driven Python code.
- Develop explainability and process-compliance solutions for AI and ML systems.
- Track and evaluate model performance across training, validation, inference, and monitoring.
- Provide code reviews, architecture guidance, and mentorship to junior and mid-level engineers.
- Work across on-premises and cloud environments with complementary engineering teams.
- Produce ML proposals, experiment specifications, technical designs, testing scenarios, and other documentation.
- Communicate technical information to technical and end-user audiences.
Requirements
- Bachelor's degree in a quantitative field.
- Production machine learning experience with time-series or sequential data, including training, deployment, and monitoring at scale.
- Experience applying deep learning to temporal or representation problems, such as sequence models or time-series embeddings and similarity.
- Strong data reasoning skills and the ability to select appropriate data for modeling.
- Strong SQL skills and experience with large-scale datasets.
- At least 5 years of software engineering experience, primarily using Python, with production practices including automated testing, Docker, and enterprise cloud data platforms.
- Experience with real-world governance and RBAC constraints in enterprise data environments.
- Depth in several areas including PyTorch and distributed deep learning, LLM APIs and agent orchestration, temporal modeling, or classical ML using scikit-learn.
- Excellent written and verbal communication skills.
Benefits
- Competitive base salary and incentive compensation, with potential upside for overachievement.
- Paid time off including vacation, personal, sick, and community service days.
- Health, dental, vision, telemedicine, and mental health benefits.
- 401(k) match of 2:1 up to 8%, immediately upon hire.
- Discounted employee stock purchase plan and tax savings accounts.
- Employee referral bonuses and volunteer opportunities.
- Complimentary lunch, snacks, and coffee in Cboe offices.
- Tuition assistance and education opportunities.
- Charitable giving company match.
- Paid parental leave and fertility benefits.
- On-site gyms and fitness center discounts.
- Four days per week in the office.
Categories
About Cboe Global Markets
Cboe Global Markets operates exchanges and market infrastructure for options, equities, futures, FX, ETPs, and digital assets used by brokers, banks, and institutional and retail investors. Its revenue comes from transaction and listing fees, market data and index licensing (including VIX and SPX), and related services. Founded in 1973 and headquartered in Chicago, it runs Cboe Options and Cboe Futures exchanges as well as European trading venues.