Graduate Intern, Advanced Technologies

Sony Pictures Entertainment•Culver City, CA

6d•Onsite

About The Position

Our Emerging Talent Programs — including Internships and Trainee roles — provide hands-on opportunities for students and early-career professionals to contribute to the teams behind our film, television, and entertainment experiences. These paid, seasonal assignments deliver meaningful, high-impact work designed to accelerate your growth. You’ll take on real responsibilities, build practical skills, and gain exposure to the business through structured learning, executive engagement, and networking opportunities. Our internship program is designed for students currently enrolled in an accredited college or university, as well as individuals seeking to deepen their education through immersive, professional experience in the entertainment industry. Advanced Technologies (AT) governs and operationalizes the enterprise-wide use of generative AI and emerging technologies to enhance productivity, creativity, and innovation while ensuring security, privacy, and legal compliance. As a centralized, shared capability, AT makes safe, scalable AI adoption practical for all business units. AT operates as a core service within Enterprise Technology Services (ETS), extending ETS capabilities - security, cloud & data infrastructure, identity and Microsoft 365—into the AI and emerging-tech space. The team acts as a single, cross-functional hub that evaluates ideas, vets tools, coordinates approvals, and shepherds approved use-cases from intake through production. AT works closely with Line-of-Business Legal, Procurement, InfoSec & Privacy, Finance/Budget owners, and the GAI Committee to align technical enablement with legal, security and financial controls. By centralizing governance, tooling, and operational expertise, AT reduces risk, speeds time-to-production for approved AI initiatives and enables business units to leverage AI confidently and responsibly.

Requirements

Currently pursuing a Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field.
Basic programming or scripting experience, preferably with Python, JavaScript, or similar languages, and an interest in APIs, automation, or system integrations.
Foundational understanding of AI, machine learning, generative AI, or data science concepts, with curiosity to learn how these technologies are applied in an enterprise environment.
Interest in responsible AI, data privacy, security, and governance practices, with willingness to follow established enterprise policies and procedures.
Strong Communication and Curiosity: Ability to ask thoughtful questions, explain findings clearly, and communicate progress or blockers to team members.
Learning Mindset and Adaptability: Enthusiasm for learning new AI tools, enterprise technology workflows, and responsible AI practices in a fast-changing environment.
Analytical and Detail-Oriented Approach: Comfort reviewing information carefully, organizing findings, and helping the team identify patterns or follow-up actions.
Collaboration and Professionalism: Ability to work effectively with others, receive feedback, and contribute positively in a team-oriented environment.
Responsible Technology Awareness: Interest in ethical technology, fairness, privacy, and the responsible use of AI in business settings.

Nice To Haves

Exposure to cloud platforms, version control, collaboration tools, or technical documentation is helpful but not required.

Responsibilities

Assist with AI Platform Operations: Support the setup, configuration, and day-to-day administration of enterprise AI tools under guidance from the Advanced Technologies team. Help validate access, user provisioning, and basic workflow configurations.
Monitor Usage and Support Reporting: Review dashboards, logs, and usage reports to help identify adoption trends, common issues, and opportunities for improvement. Prepare simple summaries for team review.
Learn and Apply Responsible AI Practices: Assist in documenting governance processes, security considerations, and responsible AI guidelines. Help maintain checklists, intake notes, and audit-ready documentation for approved AI use cases.
Support Internal Users and Documentation: Help triage user questions, capture recurring support themes, and update knowledge articles, FAQs, runbooks, and training materials for AI tools and workflows.
Contribute to Small AI Enablement Projects: Participate in supervised projects such as prompt testing, workflow documentation, lightweight automation, data gathering, or evaluation of AI tool features against business requirements.