
Sr Full-Stack Software Engineer, AIML Data Operations
Required skills
- AIML Data Operations
- LLM training
- large-scale data pipelines
- web applications
- scalable
- cloud-based data-processing pipelines
- complex software systems
- analytical
- problem-solving skills
- technical communication skills
Nice to have
- Apple platforms
- highly performant UIs
- modern JavaScript frameworks
- polished user experiences
- accessibility
- large-scale distributed systems
Role summary
Apple is seeking a Senior Full-Stack Software Engineer for its AIML Data Operations team. This role involves designing, building, and operating large-scale data pipelines and custom software solutions to deliver high-quality data for AI/ML training and evaluation. The ideal candidate will have 10+ years of experience in production-grade software systems, with expertise in areas like mobile applications, web services, or data pipelines. Strong computer science fundamentals, experience with compiled object-oriented languages (Swift, Go, C++, Java), and excellent communication skills are essential. Preferred qualifications include experience with modern JavaScript frameworks, distributed systems, cloud administration, and database technologies.
Description
The AIML Data Operations organization delivers high-quality, human-annotated machine learning data at scale to product teams across Apple. We are both a global operations engineering team and a trusted partner in the development of Apple’s consumer software experiences and hardware products. Our work directly contributes to experiences across Apple, like Apple Intelligence, Siri, Vision Pro, and more. Our engineering team delivers custom, internal software solutions that accelerate the collection and delivery of machine learning data. Our data collection clients include multiple Swift and web applications backed by cloud-based web services. We design, build and operate large-scale distributed data-processing pipelines. Our team is user-focused, highly-collaborative, and growth-minded. We embrace emerging technologies, diverse perspectives, and taking shared risks. If you are a creative, curious, and collaborative software engineer with strong computer science fundamentals and a track record of shipping production software at scale, come join us.
Minimum Qualifications
Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience 10+ years of progressive experience in designing, building, testing, debugging, and operating production-grade software systems including meaningful contributions in one or more of the following: iOS or Android applications backed by cloud-based services Robust web applications and supporting APIs Scalable, cloud-based data-processing pipelines Experience with designing complex software systems, including applied knowledge of data structures, algorithms, design patterns, concurrency, multi-threading, and scalability principles. Track record of leading and delivering complex software development assignments that require creativity, navigating ambiguity and applying analytical and problem-solving skills. Exceptional collaboration, interpersonal, and technical communication skills, capable of influencing and driving technical outcomes across diverse, multi-disciplinary teams. Demonstrated expertise in a modern, compiled, object-oriented language such as Swift, Objective-C, Go, C++, or Java.
Preferred Qualifications
Experience with Swift and a passion for developing high-quality applications across Apple’s diverse platforms (iOS, macOS, visionOS, watchOS, etc.). Experience building highly performant UIs using modern JavaScript frameworks (e.g., React, Angular, Vue) with a focus on polished user experiences and accessibility. Experience with large-scale distributed systems (e.g., Spark, Hadoop, Kafka, Kubernetes). Experience administering and optimizing commercial cloud services (e.g., AWS, Google Cloud, Microsoft Azure) for scalable and resilient application deployments. Experience with database design, optimization, and SQL, including relational, NoSQL, and data warehousing technologies. Experience mentoring junior and mid-level engineers and contributing to team-wide engineering excellence. Proficiency in additional programming languages (e.g., Python, JavaScript, Go, Rust).
Sample Apple interview questions
- 1
Design a typeahead box for a search engine
system designmedium - 2
Design a rate limiter
system designmedium - 3
Architect a key-value store for distributed systems.
system designmedium - 4
Design a system to schedule jobs in a distributed environment
system designmedium - 5
What is an API and how does it work?
technicalmedium
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