Engineering Manager, Data for Applied AI Models

Join 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.

Description

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.

Preferred Qualifications

Experience creating data for multi-modal foundation models that integrate text, vision and/or audio.

Experience developing AI agents capable of planning and tool use tasks using generative AI techniques.

Experience developing ML systems for natural language understanding, visual understanding or digital assistants.

Understanding of the latest generative AI development techniques.

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.

Excellent communication, interpersonal, and presentation skills.

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 $228,100 and $342,800, 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. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.