Data Science & Engineering Manager - Auction/Yield, Ad Platforms

Full time

Employment Information

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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. We are a team of passionate scientists and technologists, dedicated to helping publishers and developers find their audience, and changing the way advertising works with data. 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. Our auctions power rapidly growing marketplaces and are critical to the health and diversity of our ecosystem.

We are looking for an exceptional data science and engineering manager who can thrive in a fast-paced environment and is highly knowledgeable in the space of auctions and marketplace optimization for online advertising. You will lead teams and systems that drive marketplace optimization, budget pacing, pricing, and winner selection algorithms. You will drive the conception, development, and delivery of innovative capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You will have an excellent understanding of scalable architectures and thrive working in Agile environments.

Key Qualifications

  • 5+ years experience in managing a data science team.
  • Recognized expertise in the areas of marketplace optimization and auction theory
  • Demonstrated success mentoring and growing a team technically as well as developing growth plans for its members.
  • Ability to apply and implement research concepts, ultimately in production quality code.
  • Experience defining clear, testable research hypotheses, including intended impact on the business.
  • Deep knowledge of design of experiments, online experimentation approaches, preferably at scale.
  • Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management.
  • Experience contributing and/or reviewing research for top conferences and publications.
  • Experience owing real time production systems.
  • Deep fluency in Java or Python.
  • Experience with Spark, Hadoop or other distributed frameworks.


You will have the opportunity to work on optimizing a marketplace that serves ads millions of times a day. You will own the auction systems and marketplace optimization framework which have strong requirements for both technical SLA performance and delivering a fair and vibrant marketplace for discovery. We operate a platform with extreme scale requirements and value.

You will, in partnership with our product management colleagues, propose, design and analyze new features and algorithms to improve the performance of our auctions. You will work closely with operational teams on deployment, monitoring, management concerns. You will participate and lead Apple internal Data Science & Machine learning interest groups, meet ups, and conferences. You will join a team passionate about data privacy, fairness, and trust, with profound responsibility to ensure those things, while protecting the value our customers and developers count on from our advertising products.

Education & Experience

PhD in a quantitative field (or BS/MS with equivalent work experience)

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 $242,700 and $364,100, 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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