[jobs] ML engineer for remote sensing + food security in Sub-Saharan Africa

[Hannah Kerner]

Hi all,

We are looking for a machine learning engineer/researcher to join our team at University of Maryland to work on ML applications for remote sensing + food security in Sub-Saharan Africa as part of the NASA Harvest and SERVIR programs. 

See description and qualifications here: https://ejobs.umd.edu/postings/80972

Minimum qualifications:

• Must be a U.S. Citizen or Permanent Resident.
• BS or MS in computer science, remote sensing, GIS, geographical sciences, agricultural sciences, physics, engineering, mathematics, or related fields
• Strong Python programming background
• Knowledge of software design principles and tools (e.g., Github/version control)
• Experience using machine learning libraries such as TensorFlow, Keras, PyTorch, and scikit-learn
• Experience developing and/or applying machine learning models for classification, semantic segmentation, and regression
• Experience using remote sensing data, GIS, and applying geospatial algorithms
• Interest in agriculture, food security, and environmental research and applications
• Strong problem-solving and interpersonal skills; ability to work in a small development team environment
• Ability to effectively communicate technical concepts to technical and non-technical staff
• Ability to meet deadlines

I'm happy to answer any questions. 

Thanks,

Hannah