Summary
Artificial intelligence is one of the most profound technologies of our lifetime. It’s rapidly changing Apple products, making them more personal, intuitive, and capable than ever before. Imagine what you could do here.
We’re looking for a senior full-stack engineer with experience across front-end applications, web services, or large-scale data pipelines to help deliver the highest-quality data for LLM training and evaluation, the foundation of Apple’s most ambitious user experiences.
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).
