Summer Product Experience Intern - PCX Lab (Hybrid)

DIRECTV; Billings (MT); Hybrid; USD 34,000 - 47,000; Part time

Job summary

DIRECTV invites students in engineering, computer science, or mathematics to join a summer internship in the Customer Operations PCX Lab in El Segundo, CA. This hybrid role involves collaborating with the Engineering organization and delivering hands-on learning opportunities.

You will implement updates, research issues from feedback, and investigate system gaps while gaining experience with AI-related technologies and direct interaction with leadership.

Qualifications

• Must be an undergraduate or graduate student in Engineering, Computer Science, 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.
• Comfortable presenting ideas and engaging with leadership.
• Exposure to AI technologies, particularly computer vision, is a strong plus (desired).

Responsibilities

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

Skills

General technical knowledge

Analytical problem-solving

Coding across languages

Remote work capability

Presentation to leadership

Familiar with DIRECTV products

Engineering mindset

AI/Computer vision exposure (optional)

Education

Engineering/CS/Math majors

Job description

DIRECTV invites students in engineering, computer science, or mathematics to join a summer internship in the Customer Operations PCX Lab in El Segundo, CA. This hybrid role involves collaborating with the Engineering organization and delivering hands-on learning opportunities.

You will implement updates, research issues from feedback, and investigate system gaps while gaining experience with AI-related technologies and direct interaction with leadership.