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Apple
New York City, New York, United States
(on-site)
Posted
7 days ago
Apple
New York City, New York, United States
(on-site)
Job Function
IT/Software Development
Senior Machine Learning Manager - Ads Predictions
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Senior Machine Learning Manager - Ads Predictions
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Description- You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads - You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform - You'll have the opportunity to work on a platform with extreme scale requirements - You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network - You have excellent understanding of scalable architectures including operational concerns
Minimum Qualifications
- 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets
- You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions
- You have experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or other experience with rigorous Quantitative Analysis or Systems Software implementation
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics
- You have experience developing and leading teams who develop in Python or Java
- You are familiar with databases, SQL, and scripting languages
- Proven ability to take requirements from design through to implementation both independently and with larger teams
- You enjoy working closely with operational teams on deployment, monitoring, and management concerns
- You actively manage performance of the team reporting to you and take responsibility to drive its outcome
- MS in AI/ML/Mathematics/CS or related field
Preferred Qualifications
- 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data setsPhD in AI/ML/Mathematics/CS or related field
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 $198,300 and $342,800, 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 .
Job ID: 80990979

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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