Remote ML Engineer - Remote (Europe)

Description:

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

Requirements:

• You must have a strong foundation in Python and applied machine learning.
• You should have experience training supervised and self-supervised models.
• You need hands-on experience with model fine-tuning, evaluation, and deployment workflows.
• You must be comfortable working end-to-end from raw data through training to production inference.
• You should be pragmatic, curious, and experimental with a bias toward shipping working models.

Benefits:

• You will build the learning backbone of Reflow that turns work data into predictions and signals.
• You will work closely with founders, engineers, and product teams.
• You will have the opportunity to ship real models into production and see them shape how teams work.
• The position offers a flexible structure, part-time or full-time, with a focus on ownership and iteration speed.