Summary

Senior machine learning engineer role owning critical ml subsystems for a proactive ai smart assistant. You will build core ml systems end-to-end, including data preparation, training, evaluation, and inference, and debug production issues using real signals. The role is hands-on and focused on reliability, latency, cost, and safety under production constraints.

Responsibilities

• Build core ml systems for long-horizon workflows
• Own ml work end-to-end from data to inference
• Debug model failures using production signals
• Iterate by shipping, measuring, and refining models
• Collaborate with research, product, and engineering
• Mentor and review other ml engineers