Founding ML Engineer
Core
Building the ML stack for an autopilot system in industrial biology that optimizes water infrastructure energy consumption using computer vision and deep learning.
Role type
Founding Machine Learning Engineer (Computer Vision & Time Series)
Builds
Cloud inference serving for live testing sites, data ingestion pipelines, and correlation layers between vision features and process variables.
Domain
Industrial Biology / Water Infrastructure / Deep Learning
Deliverable
production ML models
Required skills
Computer vision architecture, cloud inference serving, time series modelling, feature engineering, data augmentation, transfer learning, semi-supervised learning, small dataset optimization
Preferred skills
Ability to upskill quickly, motivation to deploy fast
Technologies
Proprietary hardware, deep learning frameworks, cloud platforms
Responsibilities
Own computer vision architecture and model performance, build and maintain cloud inference serving, design pipelines for live sensor data, structure model outputs for operator interfaces, collaborate on integrating operational observations with model behaviour
Seniority
Founding, hands-on IC
