Customer Ops Intern: AI-Driven Engineering Lab

DIRECTV

Oklahoma City (OK)

Hybrid

USD 34,000 - 47,000

Part time

42 hours ago
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Job summary

DIRECTV is offering a 10-week summer internship in the El Segundo lab, hybrid role requiring 3 days per week onsite. You will work directly with our Engineering organization and gain hands-on experience in the newly built Product Customer Experience Lab. Eligible students must have U.S.

work authorization. The role pays $25–$34 per hour, with the opportunity to learn across software updates, issue research, and AI-related computer vision initiatives while collaborating with leadership in a

Qualifications

  • Open to undergraduate or graduate students in Engineering, CS, or Mathematics.
  • Solid general technical knowledge and ability to learn new tools quickly.
  • Strong technical acumen with analytical problem-solving skills.
  • Familiarity with DIRECTV products and services.
  • Engineering-focused mindset with attention to detail and innovation.
  • Coding experience across a broad range of programming languages.
  • Demonstrated ability to succeed in a virtual or remote environment.
  • Exposure to AI technologies, particularly computer vision, is a strong plus.

Responsibilities

  • Implementing software updates and feature enhancements.
  • Identify and research issues through various sources and feedback channels to create solutions.
  • Investigate system gaps and opportunities.

Skills

Technical problem solving
Coding across languages
Remote work capability
Presentation to leadership
AI / computer vision exposure
Familiarity with DIRECTV products

Education

Engineering, CS, or Mathematics

Job description

DIRECTV is offering a 10-week summer internship in the El Segundo lab, hybrid role requiring 3 days per week onsite. You will work directly with our Engineering organization and gain hands-on experience in the newly built Product Customer Experience Lab. Eligible students must have U.S.

work authorization. The role pays $25–$34 per hour, with the opportunity to learn across software updates, issue research, and AI-related computer vision initiatives while collaborating with leadership in a

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