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ML Engineer - Europe

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Reflow
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

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
  • Experience fine‑tuning large language models or embedding models
  • Familiarity with PyTorch, Tensor Flow, or similar frameworks
  • Experience with time series forecasting, behavioral modeling, or graph‑based learning
  • Background working with messy, real‑world product data
  • 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
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