Role overview
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'll work on
- 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
What we're looking for
- Experience fine-tuning large language models or embedding models
- Familiarity with PyTorch, TensorFlow, or similar frameworks
- Experience with time series forecasting, behavioral modeling, or graph-based learning
- Background working with messy, real-world product data
Tags & focus areas
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