ML Engineer

We are building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. At the core of Reflow is a growing set of machine learning models that learn from real work patterns to predict outcomes, surface insights, and power intelligent automation.

What you will do

• Train, fine-tune, and evaluate machine learning models on real-world workflow and behavioral data
• Build predictive models for task outcomes, productivity trends, capacity forecasting, and workflow optimization
• Fine-tune large models and foundation models for domain-specific prediction, classification, and embedding tasks
• Design and maintain feature pipelines, training loops, and evaluation frameworks
• Work with engineers and product teams to integrate trained models into production systems
• Monitor model performance and iterate using offline evaluation and live data feedback

Who you are