R&D Data Analysis and Machine Learning Software Engineer

Summary by AIEngineer.careers

R&D Data Analysis and Machine Learning Software Engineer is a Machine Learning Engineer role (full-time). with The University of Texas at Austin. in AUSTIN, US. Compensation shown: $104K–$174K. Imported listing (source: justjobs.com). Apply on the employer's site (justjobs.com).

Imported listing (source: justjobs.com) · Apply on justjobs.com

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AUSTIN · US

$104K–$174K

Full-time

MID

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Imported job description

Sourced from justjobs.com

The Applied Research Laboratories at The University of Texas at Austin seeks an R&D engineer to develop data analysis and machine learning algorithms and supporting software for the Environmental Sciences Laboratory. The role spans algorithm design, software development and testing, documentation, and deployment in an applied research environment. Requires US citizenship and eligibility for a government security clearance.

Responsibilities

Design, develop, configure, test, and support data analysis and machine learning algorithms
Write flexible, maintainable software and test it against project requirements
Prepare technical documentation and present analysis results at internal and external working group meetings
Coordinate with project team members, supervisors, and sponsors to implement requirements on time
Review peer-developed software to improve designs and implementations
Deploy and support software outside of ARL

Requirements

Bachelor's degree in natural or engineering sciences, including computer science, electrical engineering, or a related discipline
3+ years of experience developing and evaluating data algorithms (regression, probability, statistics) or machine learning algorithms and libraries (TensorFlow, Keras, Theano, Torch, Infer.NET, or equivalent)
Strong math background
Experience in an applied research environment, contributing from conception to implementation
Experience developing applications in MATLAB and Python in a UNIX/Linux environment
US citizenship and eligibility for a government security investigation/clearance

Nice to Have

Master's or Ph.D. in natural or engineering sciences, computer science, electrical engineering, or related field
Advanced coursework or significant experience in statistics, pattern recognition, or scalable machine learning
Current or recent eligibility for access to classified information
5+ years of experience with data algorithms or ML libraries
Experience analyzing large, complex datasets with scalable techniques
MATLAB MEX objects, database integration and SQL, C/C++, signal processing algorithms
Scripting languages (Python, Shell) and version control or defect tracking systems
Prior professional or research-oriented software development experience and mentoring ability

Benefits

medical insuranceretirement planpaid vacationpaid holidays

Tech Stack

C++KerasLinuxMATLABPythonPyTorchShellSignal ProcessingSQLTensorFlow

The University of Texas at Austin

Austin · US · 26696+ employees

The University of Texas at Austin is one of the largest public universities in the United States, founded in 1883. The University has grown from a single building, eight teachers, two departments and 221 students to a 350-acre main campus with 21,000 faculty and staff, 16 colleges and schools and more than 50,000 students. It is a leading public research university where Longhorns learn, create and lead — changing Texas and the world.