ML Engineer

🕒 March 24

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Reflow

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Reflow is a SaaS platform that provides enterprise teams real-time visibility into how operational work actually happens, helping them visualize workflows, identify bottlenecks and drift, prioritize data-driven automation, and measure ROI from optimization. Built as a system of record for enterprise operations, Reflow aggregates granular execution data across tools to surface objective insights, recommend high-impact automations (e. g. , refund processing, chargeback triage, subscription cancellations), and verify compliance with SOPs while maintaining enterprise-grade security and privacy controls.

📋 Description

• 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

🎯 Requirements

• 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 for 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

🏖️ Benefits

• Flexible structure, part-time or full-time, with a focus on ownership and iteration speed • Build the learning backbone of Reflow that turns work data into predictions and signals • Work closely with founders, engineers, and product teams