Summary: This role involves training, fine-tuning, and evaluating machine learning models to build predictive models for workflow optimization and integrating them into production systems. Highlights: 1. Build the learning backbone of Reflow 2. Ship real models into production 3. Work closely with founders, engineers, and product teams 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** --------------- * Strong foundation in Python and applied machine learning * Experience training supervised and self\-supervised models * Hands\-on experience with model fine\-tuning, evaluation, and deployment workflows * Comfortable working end\-to\-end from raw data through training to production inference * Pragmatic, curious, and experimental with a bias toward shipping working models **Bonus points** ---------------- * 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 **Why join** ------------ * Build the learning backbone of Reflow that turns work data into predictions and signals * Work closely with founders, engineers, and product teams * Ship real models into production and see them shape how teams work * Flexible structure, part\-time or full\-time, with a focus on ownership and iteration speed Compensation Range: $80K \- $160K