About this role
Lead the machine learning execution layer to build a proactive AI assistant for everyday users. You will translate research into scalable, production-grade ML systems, focusing on data pipelines, training, evaluation, and deployment under real-world constraints.
What we are looking for 6
- Own end-to-end ML system execution: data pipelines, training, evaluation, inference, and deployment
- Fine-tune and adapt models using state-of-the-art methods
- Architect and operate scalable inference systems balancing latency, cost, and reliability
- Design and maintain data systems for high-quality training data
- Implement evaluation pipelines for performance, robustness, safety, and bias
- Own production deployment, including GPU optimization and scaling