Lead Software Engineer, iOS and tvOS

This is a Full Time Job

WeAreParamount 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, GitHub 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 model quality, latency, and cost trade-offs.

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