Machine Learning Engineer at Apple (Austin, TX)
At Apple, we work every day to create products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. 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 distributed systems and apply cutting edge algorithms and ML models to improve relevance across a range of advertising applications. The position involves building large scale data infrastructure as well as the capability to analyze big data. 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. In addition, the successful candidate will apply advanced ML techniques for federated learning where privacy mechanisms are safeguarded at the very onset and delightful relevance experiences are built by applying encryption techniques, on-device segmentation, advanced language models, ranking algorithms by utilizing the best of aggregated server and on-device data.
You will have the opportunity to work on a platform with extreme scale requirements. You should have experience developing and implementing relevant personalization algorithms, revenue optimization solutions and network data processes within a content + audience network. You have excellent understanding of scalable architectures including operational concerns.
You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each others growth and supporting each other in delivering for our customers and Apple.
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