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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. Apple's 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 scale.
We're 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.
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 like Apple Intelligence, Siri, Vision Pro, and more.
As 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 team's work spans Swift and web-based data collection applications, cloud-based web services, and large-scale distributed data-processing pipelines.
You 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 stakeholders.
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 and curious engineering leader with strong technical foundations, a passion for developing people, and a relentless customer focus, come join us.
Minimum Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.
5+ years of experience managing software engineering teams, including direct management of 10+ engineers responsible for production software applications and services.
8+ 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:
iOS or Android applications backed by cloud-based services
Robust web applications and supporting APIs
Scalable, cloud-based data-processing pipelines
Experience building team cultures that emphasize engineering excellence, customer focus, collaboration, and continuous growth.
Track record of leading and delivering complex, cross-functional software development programs that require navigating ambiguity and aligning diverse technical and business stakeholders.
Strong collaboration, interpersonal, and communication skills, with demonstrated ability to influence technical outcomes and present to executive stakeholders.
Demonstrated success in hiring, developing, and retaining strong engineering talent at multiple levels.
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 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.
Proficiency in additional programming languages (e.g., Python, JavaScript, Go, Rust).