Software Engineering Manager, AI/ML Data Operations at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering Management, AI/ML, Data Operations, Scalable Data Pipeline, Fullstack Application Development, Software Development, Python, Java, Swift, Unix-based Solutions, Distributed Software Solutions, Cloud-based Solutions, High-Performance Data Pipelines, Architectural Decisions, Interpersonal Skills, Communication Skills

Industry

Computers and Electronics Manufacturing

Description

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. The central AI/ML Data Operations team builds software solutions that enable global data collection for machine learning at scale. We're seeking a hands-on engineering manager to lead a team building scalable data pipeline and fullstack application solutions. You will drive software development for a global data operations organization and be part of Apple's most strategic initiatives. DESCRIPTION As an engineering manager on the AI/ML Data Operations team, you will lead a team of software engineers. You will partner with ML researchers, data scientists, and product teams across Apple to understand requirements and deliver scalable software solutions. Your team's work will directly impact the development and quality for models powering Apple Intelligence and other strategic AI features. MINIMUM QUALIFICATIONS B.S. in Computer Science or equivalent degree 3+ years of experience in a software engineering team management role 5+ years experience as a software engineer Proven track record of leading engineering teams to deliver user-centric, production software products across multiple releases Excellent interpersonal and communication skills, especially with non-engineering partners and executive stakeholders PREFERRED QUALIFICATIONS Passion for building team cultures that emphasize teamwork, engineering excellence, customer focus and innovation Strong programming background in Python, Java, Swift, or similar modern languages, especially for fullstack application development Experience in designing, building, and maintaining Unix-based, scalable distributed or cloud-based software solutions Experience with high-performance, scalable data pipelines, especially for preparing datasets for AI/ML model development Ability to weigh in on architectural decisions and align engineering execution with product and business needs

Responsibilities

This role involves leading a team of software engineers to build scalable data pipeline and fullstack application solutions for global data operations supporting machine learning initiatives. The manager will partner with ML researchers and data scientists to deliver software solutions directly impacting Apple Intelligence and other strategic AI features.