Senior Data Collection Lead - Apple Vision Pro

Senior Data Collection Lead - Apple Vision Pro

Sunnyvale, California, United States

Hardware

Summary

Posted : Aug 06, 2025

Role Number : 200614018-3956

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!

Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us. Our team is working with some of Apple's most advanced and exciting technologies, including augmented reality (AR) explorations. As a member of our fast-paced organization, you will be part of a rapidly evolving team, developing innovative technologies that will delight and inspire millions of people!

We are seeking a highly qualified Senior Data Collection (DC) Lead to join our team. The ideal candidate will have a proven track record of success in data collection / user research, comprehensive experience leading and scaling impactful teams, and a passion for developing R&D technologies, have excellent analytical and communication skills, a hands-on “no task is too big or small” approach, and will thrive in high pressure, high performance data-driven organizations.

Are you ready to help us deliver the next groundbreaking Apple products?

Description

As a Data Collection Lead, this role will involve hands-on data collections at scale, and know-how to leverage critical observational skills while gathering data directly and indirectly through teams. You will work full-time, onsite, both independently, and in collaboration with highly technical teams (such as our growing data collection, user research, Software (SW) engineering, and Computer Vision / Machine Learning (CVML) research) on accelerated timelines. Success involves being detail oriented, self- motivated, having a high tolerance for change / ambiguity in partnerships, with a strong sense of emotional intelligence for your team and participants. Your success is heavily derived from the strength of your relationships.

Additional responsibilities will include :

• Leading data collection solution development and working cross-functionally to develop and transform complicated data asks and privacy / confidentiality / safety / legal requirements into a clear and executable data collection solution
• Defining data collection Hardware / Software (HW / SW) infrastructure specification and aligning with cross-functional teams to ensure technical performance, usability, and stability
• Designing and implementing DC project management, risk control process, efficient budget management and cost control
• Designing and implementing continuous training plans to provide sufficient operation, protocol and HW / SW handling and clear documentations to DC teams
• Leading and supervising teams and data collection vendors to implement data collection and delivering complete and accurate data
• Developing data quality control processes, monitoring data quality and ensuring data integrity throughout the data collection process
• Working with SW and CVML engineers to support data evaluation, curation, and annotation process.
• Developing and driving the feedback loop from data consumers to data collection
• Driving process improvements across the organization to continuously improve the way we work

Minimum Qualifications

Bachelor's degree or equivalent industry experience in a relevant field (e.g. Computer Science, Electrical Engineering, AIML, HW / SW Engineering, Data Science, etc.)

6 years experience in large scale, in-the-wild, data collection management

Ability to lead cross-functional teams and external vendors to deliver large scale data collections

Excellent project management, communication, interpersonal, analytical, and organizational skills

Extensive project and vendor management experience for scaled field data collections

Resourceful, creative, results oriented with a strong sense of accountability

Ability to maintain professionalism while working with others and making adjustment suggestions in sensitive situations

Strong attention to detail, problem solving & critical thinking capacities, thinking creatively in order to gain in speed, efficiency, and quality

Proficiency in data management tools and technologies, such as SQL, Excel, and data visualization software

Ability to analyze / interpret data to identify trends, patterns, and insights that inform decision-making and to present data to non-technical partners while managing multiple projects simultaneously

Ability to work on site as needed

Preferred Qualifications

Master's degree or above in a relevant field (e.g. Computer Science, Electrical Engineering, AIML, HW / SW Engineering, Data Science, etc.); Computer Science background preferred

Experience in managing a team

Proficiency in programming languages including Python, C++, or similar

Experience with industrial software development

Experience with AIML development and application

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 $172,100 and $305,600, 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. ()

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 () .

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 () .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program () .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.