Sr Software Engineering Manager, AIML Data Operations

Apple is where individual imaginations gather together committing to the values that lead to great work. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here youll do more than join something youll add something. nnArtificial intelligence is one of the most profound technologies of our lifetime. Its rapidly changing Apple products making them more personal intuitive and capable than ever before. Apples AIML Data Operations organization is looking for an experienced engineering manager to lead the team that builds the software powering machine learning data collection and delivery at Apple looking for a hands-on senior engineering manager with deep full-stack software engineering experience and a proven track record of leading and growing high-performing teams. If you are energized by the intersection of technical leadership people development and realizing the potential of artificial intelligence for billions of people this is your team.

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 Apples consumer software experiences and hardware products. Our work directly contributes to experiences like Apple Intelligence Siri Vision Pro and a senior engineering manager on the AIML Data Operations team you will lead a team of software engineers building the custom internal software solutions that accelerate the collection and delivery of machine learning data. Your teams work spans Swift and web-based data collection applications cloud-based web services and large-scale distributed data-processing will set technical direction establish engineering culture and best practices and partner with ML researchers data scientists and product teams across Apple to understand requirements and deliver scalable software solutions. You will hire mentor and grow engineers at all levels and communicate technical strategy and program status to executive team is user-focused highly-collaborative and growth-minded. We embrace emerging technologies diverse perspectives and taking shared risks. If you are a creative and curious engineering leader with strong technical foundations a passion for developing people and a relentless customer focus come join us.

Bachelors degree in Computer Science Software Engineering or a closely related technical field or equivalent practical experience.n5 years of experience managing software engineering teams including direct management of 10 engineers responsible for production software applications and services.n8 years of progressive experience as a software engineer designing building and operating production-grade software systems including meaningful contributions in one or more of the following:niOS or Android applications backed by cloud-based servicesnRobust web applications and supporting APIsnScalable cloud-based data-processing pipelinesnExperience building team cultures that emphasize engineering excellence customer focus collaboration and continuous record of leading and delivering complex cross-functional software development programs that require navigating ambiguity and aligning diverse technical and business collaboration interpersonal and communication skills with demonstrated ability to influence technical outcomes and present to executive success in hiring developing and retaining strong engineering talent at multiple expertise in a modern compiled object-oriented language such as Swift Objective-C Go C or Java.

Experience with Swift and a passion for developing high-quality applications across Apples platforms (iOS macOS visionOS watchOS etc.).nExperience building highly performant UIs using modern JavaScript frameworks (e.g. React Angular Vue) with a focus on polished user experiences and with large-scale distributed systems (e.g. Spark Hadoop Kafka Kubernetes).nExperience administering and optimizing commercial cloud services (e.g. AWS Google Cloud Microsoft Azure) for scalable and resilient application with database design optimization and SQL including relational NoSQL and data warehousing in additional programming languages (e.g. Python JavaScript Go Rust).