R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate)
Core
Design, develop, configure, apply, test, and support data analysis and machine learning algorithms for research and development within the Environmental Sciences Laboratory.
Role type
R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate)
Builds
Data modeling solutions and algorithm implementations for research projects
Domain
Environmental Sciences, Applied Research
Deliverable
production ML models
Required skills
Data algorithms (regression, probability, statistics), Machine learning libraries (Tensorflow, Keras, Theano, Torch, Infer.NET), MATLAB, Python, UNIX/Linux environment, Strong mathematical background
Preferred skills
Scalable machine learning techniques, Large complex dataset analysis, MATLAB MEX objects, SQL programming, C/C++, Signal processing algorithms, Version control systems, Research plan formulation
Technologies
Tensorflow, Keras, Theano, Torch, Infer.NET, MATLAB, Python, SQL, C/C++
