ML Engineer
remotemid
via Ashby
About this role
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…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, pytorch, tensorflow, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonpytorchtensorflowteams