Student Machine Learning Engineer

Auburn, AL, US • Posted 17 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • RAN
  • RFID
  • Artificial Intelligence
  • Computer Science
  • Machine Learning (ML)
  • Modeling
  • PyTorch
  • Deep Learning
  • Python
  • RF
  • Network
  • Law
  • Regulatory Compliance

Summary

Overview

The RFID Lab at Auburn University is looking for a Student Machine Learning Engineer. This role is dedicated to creating, expanding, and refining the abilities of machine learning models ran at the RFID Lab.

Responsibilities

The Student Machine Learning Engineer will:
  • Train, test, and evaluate ML/AI models using PyTorch
  • Handle large datasets using Python
  • Code ML/AI projects to specification

Qualifications

  • Enrolled student at Auburn University
  • Computer Science or related degree
  • Experience with ML modeling

Minimum Knowledge, Skills, and Abilities

  • Python
  • Pytorch
  • Experience in deep learning architectures such as CNNs, transformers, etc.
  • Experience handling large datasets using Python
  • Fundamental knowledge in RF

Why Work at Auburn?

Why should YOU consider student employment at Auburn University?
  • Gain valuable work experience! Student employment allows you to explore different interests, identify strengths, and make informed decisions about your future career goals.
  • Build your network! Interacting with faculty, staff, and fellow students can lead to valuable connections and potential mentors.
  • Make a difference! Have the satisfaction of knowing YOU are a part of providing the premier academic experience at Auburn and the life-changing work our students and employees perform.

Equal Opportunity Compliance Statement

It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121288
  • Position Id: 544dfc3c0a971ee1bcf79ef05c04e96b
  • Posted 17 hours ago
Create job alert
Never miss an opportunity! Create an alert based on the job you applied for.