Customer Operations Intern - Tech Lab Experience (Hybrid)

DIRECTV

Portland (OR)

Hybrid

USD 34,000 - 47,000

Part time

11 days ago
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Job summary

DIRECTV is looking for a summer intern to join the Customer Operations team, working closely with Engineering in the PCX Lab in El Segundo, CA. The role blends hands-on software work with learning in a hybrid setting requiring three days per week in the Los Angeles area.

Ideal candidates are engineering or computer science students with strong coding skills, the ability to learn quickly, and comfort presenting ideas to leadership. Experience with AI, particularly computer vision, is a plus.

Qualifications

  • Pursuing undergraduate or graduate studies in Engineering, Computer Science, or Mathematics.
  • Solid technical knowledge and ability to learn new tools quickly.
  • Strong analytical problem-solving skills.
  • Familiarity with DIRECTV products and services.
  • Engineering mindset with detail and innovation.
  • Coding experience across a broad range of programming languages.
  • Experience succeeding in a virtual or remote environment.
  • Comfort presenting ideas to leadership.
  • Exposure to AI technologies (computer vision) is a plus.

Responsibilities

  • Implement software updates and feature enhancements.
  • Identify and research issues using multiple sources and feedback channels to craft solutions.
  • Investigate system gaps and opportunities.

Skills

Engineering knowledge
Programming languages
Analytical problem-solving
Learning new tools
Public speaking / leadership exposure

Education

Engineering/CS/Math student

Job description

DIRECTV is looking for a summer intern to join the Customer Operations team, working closely with Engineering in the PCX Lab in El Segundo, CA. The role blends hands-on software work with learning in a hybrid setting requiring three days per week in the Los Angeles area.

Ideal candidates are engineering or computer science students with strong coding skills, the ability to learn quickly, and comfort presenting ideas to leadership. Experience with AI, particularly computer vision, is a plus.

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