Apple Jobs in California
Job posting data last updated March 12, 2026.
Engineering Manager, Data for Applied AI Models
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Engineering Manager, Data for Applied AI Models
Apple
Engineering Manager, Data for Applied AI ModelsJoin us at the forefront of redefining how people interact with their devices. On the Siri team, we're solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As our Data lead, you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.
We are seeking a deeply technical manager to lead our Data team.
You will be responsible for understanding and drafting requirements, developing annotation tools and workflows, and managing the delivery and quality of data. The Data team is an immediate partner to our applied ML team, jointly responsible for developing and shipping production models at Apple scale. The huge importance of data on product quality makes this a high-impact role your deliverables will be used to train and evaluate the models we ship.
You will use a mix of human annotation and generative AI techniques to deliver high-quality data for each task. You'll collaborate closely with researchers, software engineers, and product teams to move ideas from prototypes to production. This includes innovative ways to produce scalable, efficient, and accurate data pipelines that leverage the latest AI has to offer. In this role, you will manage, lead, and inspire a team of highly talented and experienced engineers.
You will have strong technical, communication, and people management skills and be responsible for the team's technical direction and execution. Our team values rapid iteration and delivering impactful results. The ideal candidate will have a passion for detail, getting things done, and delivering high-quality outcomes.
Minimum Qualifications
Master's or PhD in Computer Science, Machine Learning Engineering, or equivalent professional experience.
5
- years of hands-on industry experience and a proven track record of shipping ML-powered products or features, ideally involving LLMs. Extensive experience with the ML development loop with a focus on data and annotations.
- Strong leadership and team management skills, as a manager or tech-lead manager.
Proficiency in Python.
Preferred Qualifications
Experience creating data for multi-modal foundation models that integrate text, vision and/or audio.
Pay &
Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $208,400 and $313,500, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Apple accepts applications to this posting on an ongoing basis.
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