At Apple, we work every day to create products that enrich people's 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. Ads ML Experimentation team is looking for a Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers.
Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints. 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 other's growth and supporting each other in delivering for our customers and Apple.
Skilled at designing and building complex large-scale and distributed software systems in cloud computing environments like AWS\nStrong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies\nFluency in programming languages like Java, Scala, Python and SQL\nExperience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent\nExperience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks\nFamiliarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc.\nFamiliarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance\nExcellent communication, social and presentation skills\nSkilled at operating in a cross-functional organization\nAbility to condense complex concepts and analysis into clear and concise takeaways that drive action\nPrior experience in advertising industry is a plus\nPrior experience with advanced statistical and causal inference is a plus\nCurious business attitude with a proven ability to seek projects with a sense of ownership
Degree in Computer Science, Statistics, Applied Math or related field.\n5+ years of industry experience designing, building, maintaining, and extending web-scale production systems.\nExposure to AB testing and machine learning methodologies.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 42128364d1674c357252f0f9c20cd4c8
- Posted 10 hours ago
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