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Machine Learning Engineer Intern

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7-Eleven

18d ago

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
    IT & Cybersecurity
  • Irving

AI generated summary

  • You must be pursuing a degree in CS/Engineering/Math, have deep learning experience (TensorFlow/PyTorch), strong math and computer vision knowledge, and hands-on experience with OpenCV.
  • You will research and develop software solutions for retail, learn new technologies, collaborate with peers in various fields, and ensure timely delivery of high-quality work.

Requirements

  • Pursuing a BS/MS/PhD in Computer Science/Engineering/Math
  • Experience in deep learning in at least one machine learning framework (TensorFlow/Keras, PyTorch, Caffe, etc.)
  • Strong knowledge of advanced mathematics, image/video processing, computer vision, and AI/machine learning theories
  • Hands-on experience with computer vision libraries (OpenCV, SOD or equivalent library)
  • Courses in software engineering

Responsibilities

  • Research, prototype, and develop software solutions to solve problems across retail
  • Stay up to date with emerging technology and learn new technologies/libraries/frameworks
  • Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design
  • Deliver on time with a high bar on quality of research, innovation and engineering

FAQs

What is the duration of the Machine Learning Engineer Intern position?

The internship will last for 10-12 weeks during the summer months.

What are the key responsibilities of the Machine Learning Engineer Intern?

The intern will be responsible for researching, prototyping, and developing software solutions to solve problems across retail, staying updated with emerging technologies, collaborating with peers, and delivering high-quality research and engineering work.

What qualifications are required for the Machine Learning Engineer Intern position?

Candidates should be pursuing a BS/MS/PhD in Computer Science, Engineering, or Math, have experience in deep learning with at least one machine learning framework, possess strong knowledge of advanced mathematics and computer vision, and have hands-on experience with computer vision libraries.

Will interns work alone or as part of a team?

Interns will be joining a multidisciplinary team of product managers, marketers, designers, and engineers, and will work closely with a coach throughout the internship.

What kind of projects will the intern be working on?

The intern will prototype machine learning algorithms and computer vision systems aimed at improving customer experience and increasing store revenue.

Are there any opportunities for presenting work during the internship?

Yes, each intern will culminate their experience with a project presentation to functional leaders at the end of the internship.

What types of technologies or frameworks will the intern be expected to learn?

Interns are expected to stay up to date with emerging technologies and learn new libraries and frameworks relevant to machine learning and computer vision.

Will there be any exposure to senior leadership during the internship?

Yes, interns will attend a lunch series that provides a cross-functional view of the organization and exposure to senior leadership.

Is prior experience in software engineering necessary for this internship role?

Candidates are expected to have completed courses in software engineering, which indicates foundational knowledge in the field.

What kind of benefits does 7-Eleven offer to interns?

For a general description of all benefits offered to interns, please visit the specified link in the job description.

Retail & Consumer Goods
Industry
10,001+
Employees

Mission & Purpose

7-Eleven introduced the world to convenience. And in return, the world made us the #1 convenience retailer. It started with a simple idea – give customers what they want, when and where they want it. That was 1927. And what started on a single ice dock in Dallas, Texas, has since grown to more than 70,000 locations in 18 countries around the globe. The idea may have been simple, but it started a retail revolution.