Senior Machine Learning Engineer - Ad Platforms, Predictions/Personalization

Senior Machine Learning Engineer - Ad Platforms, Predictions/Personalization Cupertino,California,United States Software and Services At Apple, we work every single day to build products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and visionary content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in App Store. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious individual who can thrive in an Agile environment. You will develop and apply advanced techniques and algorithms to improve an ad network. You’ll be developing and implementing new optimization and advertising algorithms. The position also involves developing a keen understanding of the ad network behavior; detecting meaningful data patterns useful for user engagement modeling; assuring the integrity and breadth of the data; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments. In addition, the successful candidate will also apply advanced ML techniques for designing privacy mechanisms, encryption techniques, pricing/auction strategies and ranking algorithms, by utilizing data available only on the user’s device. Description You will have the opportunity to work on Machine Learning models for an Advertising Platform with extreme scale requirements. You should have experience designing, developing and implementing algorithms combining expertise in machine learning, statistics, optimization, personalization or information retrieval and in analyzing impact on marketplace dynamics, preferably within an ad network. You have an excellent understanding of scalable architectures including operational concerns. Your ability to be a great teammate under tight deadline constraints is key to success. Minimum Qualifications MS/PhD in computer science or equivalent field with 4 years relevant experience You will apply advanced statistical / ML methods and work with large, complex data sets. You have experience with Systems Software implementation of new algorithms and data engineering / analysis aspects of an ad network in Python and/or Scala and/or Java, or you have research experience in at least three of the following research areas - Algorithms, Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Statistics, Personalization, Recommender Systems, Information Retrieval, Natural Language Processing You will propose, design and analyze new algorithms to benefit the ad network. Proficiency with databases, SQL, Spark and scripting languages. Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics. Proven ability to apply statistical techniques to tackle real problems. Ability to take requirements from design through to implementation both independently and with larger teams. Closely working with operational teams on deployment, monitoring, management concerns Key Qualifications Preferred Qualifications Familiarity with AI models such as LLMs and ML techniques like such as explore/exploit, that can prove useful in cold-starting engagement (tap, conversion-rate) models Education & Experience Additional Requirements 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 $175,800 and $312,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . 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 (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . 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 (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .