Applied Research ML Engineer: Data & Algorithms

Phase2 Technology; Austin (TX); On-site; USD 89,000 - 120,000; Full time

Job summary

The University of Texas at Austin's Applied Research Laboratories seeks an R&D Data Analysis and Machine Learning Software Engineer at the Pickle Research Campus. You will develop data analysis and ML algorithms and design software to support ESL research projects.

You will prepare analyses, collaborate with sponsors, and communicate results. Strong math, ML libraries, and Python/MATLAB experience in UNIX/Linux are required.

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 algorithms

Machine learning

Mathematics

Python programming

UNIX/Linux

Education

Bachelor's degree in natural or engineering sciences

Tools

MATLAB

Python

Job description

The University of Texas at Austin's Applied Research Laboratories seeks an R&D Data Analysis and Machine Learning Software Engineer at the Pickle Research Campus. You will develop data analysis and ML algorithms and design software to support ESL research projects.

You will prepare analyses, collaborate with sponsors, and communicate results. Strong math, ML libraries, and Python/MATLAB experience in UNIX/Linux are required.