We are looking for an experienced, senior engineering manager to lead the engineering teams responsible for online Experimentation platforms that empower Apple engineers to deliver great user experiences. We are addressing key challenges to accelerate the adoption of ML across the OS stack and services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible. Lead a team of OS, Server backend and Data engineers to envision and build the future of online experimentation.
The mission for our organization is to measure, understand and proactively improve all Apple features. As part of the org, we are looking for an experienced engineering manager and technical leader to lead the teams in building online experimentation systems.
In this role you will:
Manage and grow teams that design, develop and operate an online experimentation platform to enable on-device and device/server combined ML workflows. For example, build a service to rollout / rollback experiments to billions of devices in just few hours, build highly scalable data systems to process billions of events daily.
Develop and grow a team of managers and senior engineers.
Set the vision, multi-year roadmap and execution plans for the platform in collaboration with senior cross-functional leaders across Apple.
Attract and develop talent, fostering a technical culture that encourages innovation and collaboration. This also includes nurturing technical leaders within AIML organization.
Drive engineering quality for the platform.
Minimum Qualifications
Minimum Qualifications- 10+ years of building large scale server backend and data systems
- Experience with shipping online Experimentation systems
- 5+ years of managing managers and managing through organizational change and growth
- Experience leading strategic technical projects with multiple stakeholders
- Highly technical, detail oriented, and willing to drive architecture and solutions
- Experience with independently networking, learning, and influencing cross-functional teams
- B.S./M.S. in Computer Science or a related field
Key Qualifications
Key QualificationsPreferred Qualifications
Preferred Qualifications- Experience with Machine Learning
Education & Experience
Education & ExperienceAdditional Requirements
Additional RequirementsPay & Benefits
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 $208,300 and $360,200, 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.
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
