CareerPlan

Senior Engineer - Machine Learning - Regulatory

Chicago, ILFull-time2026-07-10 → 2026-11-12
Hybrid

Core

Build production ML models and AI agent systems to monitor financial markets, detect violative behavior, and ensure market integrity using terabytes of daily data.

Role type

Senior Machine Learning Engineer (Regulatory)

Builds

Production ML models, AI agent systems, and data pipelines for market surveillance

Domain

Financial services / Regulatory technology

Deliverable

production ML models

Required skills

Python, SQL, Deep Learning (PyTorch), Time-series modeling, LLM agent systems, Snowflake, CI/CD, Automated testing

Preferred skills

Experience with order book analysis, Anomaly detection, Explainability solutions

Technologies

PyTorch, Snowflake, Python, LLM APIs

Responsibilities

Develop and operate AI agent systems in production; Build production-quality data pipelines; Design and develop test-driven Python code; Mentor junior and mid-level engineers; Track and evaluate ML model performance; Develop explainability and process-compliance solutions

Seniority

Senior, hands-on IC