Reflow
ML Engineer
Canada · Part-time
Sponsorship not specifiedDetected 176 days ago
PythonMachine LearningTensorFlowPyTorchLLMsForecasting
About the role
- 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.
- The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates.
Responsibilities
- Build predictive models for task outcomes, productivity trends, capacity forecasting, and workflow optimization
- Design and maintain feature pipelines, training loops, and evaluation frameworks
Requirements
- Experience training supervised and self-supervised models
- Hands-on experience with model fine-tuning, evaluation, and deployment workflows
- Experience fine-tuning large language models or embedding models
- Familiarity with PyTorch, TensorFlow, or similar frameworks
Skills
- Our final offer will depend on things like your experience, skill set, and location.
Compensation
- We offer competitive pay based on the market and where you're located.
- The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates.
- Our final offer will depend on things like your experience, skill set, and location.
Benefits
- Train, fine-tune, and evaluate machine learning models on real-world workflow and behavioral data
- Strong foundation in Python and applied machine learning
- Experience with time series forecasting, behavioral modeling, or graph-based learning
- Build the learning backbone of Reflow that turns work data into predictions and signals
- Flexible structure, part-time or full-time, with a focus on ownership and iteration speed
Company info
- We are building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done.
This listing is sourced directly from Reflow's careers page and normalized into a canonical job model.