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Machine Learning Engineering Program Manager
2 months ago
We are seeking an exceptional Engineering Program Manager to join our Apple AIML organization. As a key member of our team, you will be responsible for driving highly cross-functional projects dependent on innovative machine learning technologies.
Key Responsibilities- 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 evaluation efforts.
- Work with engineering, privacy, and legal teams to develop safe data collection.
- Work with research teams to develop long-term evaluation solutions.
To be successful in this role, you will need:
- 8+ years of experience in driving large-scale programs building machine learning-powered products.
- Excellent program management skills, including program structuring and managing multiple work streams interdependently.
- Strong verbal and written communication skills, including negotiation, presentation, and influence.
We are looking for candidates with:
- BS/MS in EE/CS/CE or equivalent.
- Capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment.
- Strong analytical skills and a curiosity to peel the onion to discover opportunities for impact and better user experience.
At Apple, we offer a comprehensive compensation package, including:
- Base pay within a range of $165,500 to $293,800, depending on skills, qualifications, experience, and location.
- Discretionary employee stock programs, including restricted stock unit awards and the Employee Stock Purchase Plan.
- Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
- Reimbursement for certain educational expenses related to advancing your career at Apple.
We are committed to inclusion and diversity, and 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.
