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 Machine Learning Engineer - Auctions, Ad Platforms - Austin, Texas, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200229142 / Latpro-3777884 
Date posted: Mar-10-2021
State, Zip: Texas, 78729


Machine Learning Engineer - Auctions, Ad Platforms

Austin , Texas , United States

Software and Services


Posted: Mar 10, 2021

Weekly Hours: 40

Role Number: 200229142

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. Our auctions power rapidly growing marketplaces and are critical to the health and diversity of our ecosystem. 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, pacing, pricing, and winner selection algorithms. The position also involves developing a keen understanding of the ad network behavior; detecting meaningful data patterns; assuring the integrity and breadth of the data; measuring user, campaign, and app performance; and finally analyzing the results of extremely 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

  • Experience developing software that supports low latency, high bandwidth applications, ideally in auction markets including capital markets, commodities, futures, options, or advertising auction markets
  • Experience designing, developing, testing, and/or operating microservice architectures in low latency, high bandwidth, mission critical applications
  • Deep expertise in Java, Python in low latency online applications
  • Research experience or deep professional knowledge in Auction Theory & Design, Game Theory, Economics, Algorithms, Distributed Systems, Statistics
  • Proficiency with databases, SQL, and scripting languages
  • Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
  • Experience with data analysis, business intelligence and statistical tools
  • Proven ability to apply statistical techniques to tackle real problems
  • Demonstrated 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
  • Experience with and passion for working on shared codebases, including CI/CD, devops, and internal open source approaches
  • Ability to be a great teammate under tight deadline constraints is key to success


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 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 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

MS/PHD (or equivalent professional experience) in computer science or related field, with 3+ years relevant professional experience.


See job description


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