Senior Auction and Machine Learning Scientist, Ad Platforms

Key Skills

Algorithms, Data Architecture, Database, Design, Machine learning techniques, SQL

Job Description

Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. 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, budget pacing, pricing, and winner selection algorithms. The position also involves developing a keen understanding of the ad network behavior; detecting relevant data patterns; assuring the integrity and breadth of the data; measuring user, campaign, and app performance; and finally analyzing the results of very large-scale experiments. The successful candidate will also apply advanced game theory, auction theory, and ML techniques for designing pricing/auction strategies, and ranking algorithms.

Key Qualifications

• Research experience or deep professional knowledge in Machine learning, Auction Theory & Design, Game Theory, Economics, Algorithms, Distributed Systems, Statistics
• 4+years of experience developing software that supports low latency, high bandwidth applications, ideally in auction markets including capital markets, commodities, futures, options, or advertising auction markets
• 4+years of experience in developing machine learning models using development tools such as tensorflow, PyTorch
• 4+years of experience of leading cross team projects and strong sense of ownership
• Proficiency with databases, SQL, and scripting languages
• Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
• Proven to apply statistical techniques to address real problems
• Proven success in technical leadership roles taking requirements from design through to delivery both independently and with larger teams
• Understanding of scalable architectures including operational concerns
• Ability to be a great teammate under tight deadline constraints is key to success.

Description

You will have the opportunity to work on auctions that occur millions of times a day, which have strong requirements for both technical SLA performance and delivering a fair and vibrant marketplace for discovery. We operate a platform with utmost 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 for.

Education & Experience

Ph.D with 5+ of industry experience (or equivalent professional experience) in computer science or related field of industry experience (or equivalent professional experience) in computer science or related field Experience in online advertising industry is preferred Candidates with strong publication in machine learning. auction design is a plus

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 $170,700 and $300,200, 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.