Summary

You will build core machine learning components for a proactive ai smart assistant, working on production ml systems from day one. The role focuses on data, training, evaluation, and inference, including fine-tuning models and debugging production issues under real constraints like latency, cost, reliability, and safety.

Responsibilities

• Build and improve ml components across pipelines
• Fine-tune and adapt models in production systems
• Implement evaluation and testing for model behavior
• Maintain data pipelines for real-world and synthetic data
• Debug model issues, performance problems, and incidents
• Ship iterative improvements using real user feedback