R&D ML Data Engineer — Python & ML Software Scientist

University of Texas at Austin; Austin (TX); On-site; USD 89,000 - 120,000; Full time

Job summary

University of Texas at Austin seeks an R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate) to advance data modeling and algorithm development within the Environmental Sciences Laboratory. You will design, test, and support ML and data analysis software for ARL research projects.

The role requires strong math, machine learning experience, and MATLAB/Python in UNIX/Linux environments, with collaboration across sponsors and colleagues to deliver timely

Qualifications

• Bachelor’s degree in the natural or engineering sciences including computer science, electrical engineering, or related discipline.
• Proficiency working with data algorithms (regression, probability, statistics).
• Experience with machine learning algorithms and application libraries (Tensorflow, Keras, Theano, Torch, Infer.NET, or equivalent).
• Demonstrated strong math background.
• Experience developing applications in MATLAB or Python in a UNIX/Linux environment.

Responsibilities

• Design, develop, configure, apply, test, and support both data analysis and machine learning algorithms.
• Designing and writing flexible and maintainable software according to software designs and test to ensure software meets project requirements.
• Preparation of analysis presentations and technical reports.
• Communicate with project team members, supervisors, and sponsors for timely implementation of project requirements.
• Reviewing peer developed software to improve other developer's designs and implementations.
• Deploying and supporting software outside of ARL.
• Other related functions as assigned.

Skills

Data analysis

Machine learning

Statistics

Mathematical modeling

Education

Bachelor's degree in natural or engineering sciences including CS/EE

Master's or PhD preferred

Tools

TensorFlow

Keras

Theano

Torch

Infer.NET

MATLAB

Python

UNIX/Linux

SQL

Job description

University of Texas at Austin seeks an R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate) to advance data modeling and algorithm development within the Environmental Sciences Laboratory. You will design, test, and support ML and data analysis software for ARL research projects.

The role requires strong math, machine learning experience, and MATLAB/Python in UNIX/Linux environments, with collaboration across sponsors and colleagues to deliver timely