R&D Data & ML Engineer — Research Software Innovator

The University of Texas at Austin; United States; On-site; USD 104,000 - 174,000; Full time

Benefits offered by this job

Employer-paid medical coverage

Retirement contributions

Paid vacation and sick time

Paid holidays

Job summary

The University of Texas at Austin is seeking an R&D Data Analysis and Machine Learning Software Engineer for the Environmental Sciences Laboratory at Pickle Research Campus. You will develop and test data models and ML algorithms, and design software to support research activities.

Responsibilities include deploying software, documenting work, and presenting results to internal and external groups. Strong math, programming, and collaboration skills are essential.

Qualifications

• Bachelor’s degree in natural or engineering sciences including computer science, electrical engineering, or related discipline.
• 3+ years experience with data algorithms, ML algorithms and libraries (TensorFlow, Keras, Theano, Torch, Infer.NET).
• Experience in applied research environment; projects from conception to implementation.
• Demonstrated MATLAB and Python development in UNIX/Linux environments.

Responsibilities

• Design, develop, configure, apply, test, and support data analysis and ML algorithms.
• Write flexible, maintainable software to meet project requirements.
• Prepare technical documentation and presentations.

Skills

Data analysis

Machine learning

Python

MATLAB

UNIX/Linux

Documentation

Education

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

Tools

TensorFlow

Keras

Theano

Torch

Infer.NET

SQL

MATLAB

Job description

The University of Texas at Austin is seeking an R&D Data Analysis and Machine Learning Software Engineer for the Environmental Sciences Laboratory at Pickle Research Campus. You will develop and test data models and ML algorithms, and design software to support research activities.

Responsibilities include deploying software, documenting work, and presenting results to internal and external groups. Strong math, programming, and collaboration skills are essential.