Job Details

Role Number: 200627090-3956

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Description

We’re building the next generation of AI systems — combining classic computer vision with cutting-edge multimodal LLMs. None of this is possible without the right data. As the Data Strategy & Acquisition Lead, you’ll be at the heart of our AI innovation engine. You will work across teams to define, source, and deliver the high-quality, large-scale datasets that power our models. This is not just about collecting data — it’s about understanding what data is needed, why it’s needed, and how to get it at scale, efficiently and ethically. You’ll shape how our organization understands, prioritizes, and scales data — ensuring that every dataset directly advances model capability and real-world performance. You’ll partner with research scientists, hardware and software teams, operations, simulation experts, and infrastructure engineers to shape our data strategy from concept to execution.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience.

• Experience in data strategy, data operations, or technical program management for AI/ML systems, or equivalent practical experience.

• Experience managing budgets, vendors, or external data partnerships

Preferred Qualifications

• Master’s or PhD in a technical field (CS, EE, or related).

• Experience building or managing datasets for multimodal LLMs or large-scale computer vision systems.

• Familiarity with modern data infrastructure stacks — distributed storage, labeling platforms, and workflow orchestration tools.

• Experience with privacy-preserving data techniques, annotation quality frameworks, and dataset bias mitigation.

• Knowledge of simulation platforms, synthetic data generation, and photorealistic rendering.

• Track record of building or scaling data pipelines supporting research-to-production model development.

• Understanding of trends in data scaling laws, foundation models, and self-supervised learning.

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 $141,800 and $258,600, 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. (https://www.apple.com/careers/us/benefits.html)

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

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. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .