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Lead Software Engineer - Apple

Job in San Francisco, San Francisco County, California, 94118, USA
Listing for: Paramount Skydance Corp
Full Time position
Listed on 2026-06-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, App Developer - Mobile/Web
Job Description & How to Apply Below
#We Are Paramount  on a mission to unleash the power of content… you in?

We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

POSITION TITLE

Lead Engineer, Apple

LOCATION

In Office (San Francisco, Burbank, or New York)

ABOUT

THE ROLE

Paramount Streaming is seeking a Lead Engineer, Apple to join the AI Engagement Engine team as a senior individual contributor. This role will focus on building high-performance, user-facing features that power content discovery and personalization across Paramount+ and Pluto TV applications on iOS and tvOS.

The successful candidate will work cross-functionally with backend, machine learning, data, and platform teams to deliver scalable and seamless user experiences. This engineer will own complex technical initiatives end-to-end, contribute to the architecture of Apple applications, and partner with technical leadership to establish engineering best practices.

AI-assisted development is a core expectation for this role. Candidates should demonstrate daily use of AI coding tools, experience evaluating AI-generated code, and familiarity with LLM- and ML-powered product experiences such as recommendations, search, personalization, and conversational interfaces.

KEY RESPONSIBILITIES

* Contribute to architectural decisions, frameworks, and tooling for iOS and tvOS applications.

* Design, develop, test, debug, and deploy native Apple platform applications.

* Drive application performance, reliability, accessibility, and scalability.

* Utilize AI coding assistants such as Cursor, Claude Code, Git Hub Copilot, or equivalent as part of daily development workflows.

* Collaborate on ML- and LLM-driven product features including recommendations, search, ranking, and content understanding.

* Mentor engineers through code reviews, design reviews, and technical guidance.

* Partner with Product, Design, Data, Backend, and Client Engineering teams to deliver features.

* Manage multiple projects simultaneously and proactively identify risks and dependencies.

REQUIRED SKILLS

* Expert-level Swift development experience.

* Deep knowledge of iOS, tvOS, and Xcode.

* Strong understanding of memory management, concurrency, animations, and performance optimization.

* Experience integrating RESTful APIs and backend services.

* Strong architectural and problem-solving skills.

* Experience with A/B testing, feature flagging, and client-side experimentation frameworks.

* Experience integrating advertising technologies into Apple applications.

* Excellent communication, collaboration, and mentoring abilities.

AI LITERACY

* Daily hands-on use of AI coding assistants.

* Experience with prompt engineering and evaluating AI-generated code.

* Working knowledge of LLMs, embeddings, retrieval systems, and AI application design considerations.

* Experience building or prototyping AI-powered product features.

* Understanding of responsible AI practices, including privacy, attribution, and review processes.

BASIC QUALIFICATIONS

* 7+ years of Apple platform development experience.

* Significant contribution to at least one publicly released iPhone application.

* Demonstrated use of AI coding tools in day-to-day engineering work.

* Experience working in Agile development environments.

PREFERRED QUALIFICATIONS

* Bachelor's degree in Computer Science or a related technical field, or equivalent experience.

* Experience integrating video and rich media into mobile applications.

* Experience building personalized, data-driven, or server-driven user experiences.

* Experience shipping ML- or LLM-powered mobile features.

* Experience in entertainment, media, sports, gaming, or news industries.

BONUS SKILLS

* Continuous integration and automated testing.

* Streaming video technologies and DRM.

* Localization tools and practices.

* Swift Package Manager.

* Experience evaluating AI…
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