Senior Machine Learning Engineer

Role Expectations:

• Translate risk identification methods into agent logic, ensuring quality in risk analysis, explanations, and recommendations.
• Collaborate with threat-research to understand data and threats, developing security heuristics and data requirements.
• Follow a data-driven quality approach to threat detection, including backtesting, precision/recall tuning, and production deployment.

Success Profile:

• Thrive in ambiguity and build the path forward in unstructured environments with ownership and passion.
• Act like an owner, balancing high-level strategy with hands-on execution and a data-driven mindset.
• Bring constructive energy to complex challenges, inspiring teams to stay solution-focused and impact-driven.

Minimum Qualifications:

• Experience building LLM-powered agents in production with tool calling, prompt engineering, and orchestration frameworks.
• 3+ years of Python development with production-quality systems, SQL, and data analytics libraries.
• Demonstrated ownership of production reliability, CI/CD, containerization, and observability in live distributed systems.

Preferred Qualifications:

• Experience with production AI/ML systems balancing cost, latency, and accuracy with model selection and regression testing.
• Background in cyber threat research, detection engineering, fraud detection, or close collaboration with risk analysis teams.
• Data engineering experience with large-volume event data, pipelines, and search-backed or columnar stores.