Machine Learning Engineer

About

This is NOT a chatbot or LLM project.

We are looking for a machine learning engineer to build a lightweight web app for analyzing time-series signal data from a scientific instrument. Experience working with real-world noisy data is important.

System Requirements

• Smooth signal data
• Detect noise and drift
• Generate a stability score (0–100)
• Display results in a simple web dashboard

The app should support near real-time updates (1–2 second refresh) using polling or streaming.

This is a Phase 1 MVP (2–3 weeks) focused on clean implementation and fast iteration. Experience with time-series data, signal processing, or sensor data is highly preferred.

Future work may include more advanced real-time optimization and feedback-based control.