About the ML Engineer role: You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. These usage pattern cohorts are the lynchpin of increasing the go‑to‑market and operational clock speed of customer‑centric organizations. You will be accountable for the development, training and performance management of Quad Sci AIs (Engage, Economic Forecasting, & Growth).

You will be analyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting/Billing, Website Analytics, and other common enterprise data sources.

You will work across 1–5 customers as a highly trusted (and billable) AI/ML Engineer.

As a member of an early‑stage AI startup you will contribute to the expansion of Quad Sci's delivery methodology and AI/ML workbench.

Responsibilities Aggregate, analyze and generate supervised & unsupervised ML insights from large applicati...