AIML - Sr Engineering Program Manager, Machine Learning
3 weeks ago
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? The Apple AIML org is building groundbreaking technology... and we are looking for people like you Apple offers a collaborative work environment that fosters creativity and innovation. Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences. We're looking for an outstanding Engineering Program Manager with a solid track record of driving highly cross-functional projects dependent on innovative machine learning technologies. This role is critical in driving quality improvement for products impacting over 1 billion customers, and is crucial to crafting the highest quality user experience that Apple customers expect and love.
Description:
- Build and run project timelines with clear dependencies, critical path and systematic methodology to communicate status. Handle risks and mitigations, and re-plan as events warrant. Drive alignment across the organization and between teams.
- Partner with cross-functional engineering teams to define requirements around a privacy focused approach to data collection and evaluation vital to launch and maintain premier Apple software products.
- Work with instrumentation, data science and data engineering teams to develop data collection and evaluation solutions.
- Work with dynamic cross functional engineering teams to optimize and lead measurement and evaluations efforts.
- Work with engineering, privacy, and legal teams to develop safe data collection.
- Work with research teams to develop long-term evaluation solutions.
Key Qualifications:
- 8+ years of experience in driving large scale program building machine learning powered product.
- Excellent program management skills including program structuring and managing multiple work streams interdependently.
- Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations
- Strong analytical skills and a curiosity to peel the onion to discover opportunities for impact and better user experience.
- Capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment.
- Strong verbal and written communication skills, including negotiation, presentation and influence.
Education & Experience:
BS/MS in EE/CS/CE or equivalent.
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 $152,400 and $268,200, 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.
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.
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