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engineering opportunity

Sr Software Engineering Manager, AIML Data Operations

Lead a team of software engineers in building custom internal solutions for machine learning data collection and delivery. Set technical direction, establish engineering best practices, and collaborate with cross-functional teams to deliver scalable software.

Cupertino, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

Apple is where individual imaginations gather together, committing to the values

that lead to great work. It's the diversity of our people and their thinking

that inspires the innovation that runs through everything we do. Here, you'll do

more than join something — you'll add something. 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).

Which skills does this role require?

Software Engineering ManagementFull-stack DevelopmentMachine LearningTeam LeadershipData ProcessingAPI DevelopmentTechnical StrategyMentorshipStakeholder ManagementWeb DevelopmentEngineering CultureProduct DevelopmentSoftware EngineeringAIMLData OperationsCloud-based ServicesWeb ApplicationsAPIsData-processing PipelinesVue.jsJavaGCP

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