R&D Data & ML Software Engineer

The University of Texas at Austin; United States; Vor Ort; USD 89.000 - 120.000; Vollzeit

Benefits dieser Stelle

Employer-paid medical coverage

Retirement contributions

Paid vacation and sick time

Paid holidays

Zusammenfassung

The University of Texas at Austin’s Applied Research Laboratories seeks an R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate) for the Pickle Research Campus. The role focuses on research and development of data analysis and ML algorithms, plus software design and testing to support ESL projects.

Responsibilities include systematizing analysis, presenting results, and collaborating with sponsors while deploying software beyond ARL.

Qualifikationen

• Bachelor's in natural/engineering sciences with CS or related field.
• Experience with data algorithms (regression, probability, statistics).
• Experience with ML algorithms and libraries (TensorFlow, Keras, Theano, Torch, Infer.NET).
• Strong mathematics background.
• Experience developing applications in MATLAB or Python on UNIX/Linux.

Aufgaben

• Design, develop, configure, apply, test, and support data analysis and ML algorithms.
• Develop flexible and maintainable software to meet project requirements.
• Prepare analysis presentations and technical reports.
• Communicate with project team members, supervisors, and sponsors.
• Review peer software to improve designs and implementations.
• Deploy and support software outside ARL.
• Handle other related functions as assigned.

Kenntnisse

Data algorithms

Machine learning

Independent work

Problem solving

Ausbildung

Bachelor's degree in natural or engineering sciences including computer science or related discipline

Master’s degree or PhD in natural or engineering sciences including computer science or related discipline

Tools

TensorFlow

Keras

Theano

Torch

Infer.NET

MATLAB

Python

UNIX/Linux

Jobbeschreibung

The University of Texas at Austin’s Applied Research Laboratories seeks an R&D Data Analysis and Machine Learning Software Engineer (Engineering Scientist Associate) for the Pickle Research Campus. The role focuses on research and development of data analysis and ML algorithms, plus software design and testing to support ESL projects.

Responsibilities include systematizing analysis, presenting results, and collaborating with sponsors while deploying software beyond ARL.