Senior Applied Machine Learning Engineer, Sage

• 5+ years of professional software engineering experience
• Experience training, fine-tuning, or improving ML/AI models in a production setting
• Strong understanding of model evaluation methodology and experiment tracking
• Proficiency in Python or TypeScript

Desirable

• As a Senior Applied Machine Learning Engineer on the Detect team, you'll own the end-to-end lifecycle of the AI models that power our camera-based detection system — from data collection and labeling through training, evaluation, and production deployment
• Today, Detect uses frontier multi-modal vision models to analyze video streams and detect falls in real time
• Your job is to make these models dramatically better and more capable
• You'll take ownership of our ML experimentation platform and infrastructure, maturing it into a robust system that enables the team to rapidly iterate on model quality at scale
• You'll design repeatable fine-tuning pipelines that allow models to continuously improve with new production data, and expand the system's detection capabilities beyond falls into new behavioral categories
• This is a hands-on, high-autonomy role where you'll directly impact the accuracy of a life-saving system used every day by caregivers across the country
• Own and evolve our ML experimentation platform, maturing existing infrastructure into a production-grade system the team relies on daily
• Build data pipelines for collecting, labeling, and preparing production video and image data for model training
• Design repeatable fine-tuning and evaluation pipelines that enable rapid experimentation and measure model performance at scale
• Improve detection accuracy and reduce false positives through prompt engineering, model fine-tuning, and novel inference strategies
• Expand detection capabilities into new behavioral categories
• Work closely with the backend engineering team to integrate model improvements into the real-time video processing pipeline