Senior Software Engineer, Machine Learning, Debug
Core
Developing deep learning models and statistical pipelines to analyze mosquito populations and optimize disease eradication strategies.
Role type
Senior IC machine learning engineer (computer vision & epidemiological modeling)
Builds
Production-ready computer vision models for mosquito pupae detection and population dynamics simulations
Domain
Public health / Agricultural tech / Computer vision
Deliverable
production ML models
Required skills
Deep learning model training, object detection, image segmentation, statistical modeling, Python, Java, C++, JavaScript, TypeScript
Preferred skills
Hardware hacking (Arduino, Raspberry Pi), edge device deployment, agricultural tech domain knowledge, spatial statistics, epidemiological modeling, AS3, OpenCV, Android, Obj-C
Technologies
Python, Java, C++, JavaScript, TypeScript, OpenCV, AS3, Android, Obj-C
Responsibilities
Design, train, and deploy deep learning models to visually analyze mosquitoes; Build high-accuracy object detection and image segmentation pipelines; Leverage environmental data to model mosquito population dynamics; Transition models from research prototypes to scalable production environments; Collaborate with entomologists, data scientists, and hardware engineers
