Job Overview:
The Sr. Software Engineer for AppleTV Service will work on the video content discovery service platform that powers the Apple TV app, handling millions of requests daily across various platforms like iOS, tvOS, macOS, visionOS, Roku, Fire TV, and Samsung TV. Responsibilities include building highly scalable, low latency backend services and data systems, designing and implementing services in Java, performing data analysis using Spark, and working on recommendation, personalization, catalog query, and multi-arm bandit optimization systems. The ideal candidate will have 5+ years of experience, fluency in Java, experience with Spark, and a background in building backend services for consumer products, with a preference for those knowledgeable in AI/ML concepts like embeddings and reinforcement learning, as well as experience in the video domain. A BS or MS in Computer Science or related fields is preferred.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Sr. Software Engineer position at Apple, focus on highlighting your expertise in Java and Spark, as these are critical for the role. Detail your experience in building scalable backend services and micro-services, especially if they were for consumer products. If you have worked in the video domain or have knowledge of AI/ML embeddings, make sure to emphasize these points, as they are preferred qualifications. Use specific examples and metrics to demonstrate the impact of your work, such as the scale of the systems you’ve built or the latency improvements you’ve achieved. Your resume should reflect not just your technical skills but also your ability to innovate and work in a team environment, as Apple values collaboration and creativity.
During the interview, be prepared to discuss your technical expertise in depth, particularly your experience with Java, Spark, and backend services. Expect questions about how you’ve handled scalability and latency challenges in past projects. If you have experience with AI/ML or the video domain, be ready to explain how you’ve applied these skills in practical scenarios. The interviewer will likely look for your problem-solving approach and your ability to integrate complex systems. Practice explaining your thought process clearly and concisely, and be prepared to whiteboard solutions if needed. Additionally, research Apple’s culture and values, as they often seek candidates who align with their innovative and collaborative ethos. Dress professionally but comfortably, as the interview may involve technical discussions and problem-solving exercises.