Senior Software Engineer, Ad Platforms
Santa Clara Valley (Cupertino),California,United States
Software and Services
+ Extraordinary software engineering skills designing and building complex large-scale and distributed software systems in cloud computing environments like AWS
+ Strong experience in machine learning methodology, experimentation frameworks and A/B testing
+ Fluency in programming languages like Java, Scala, Python and SQL
+ Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc.
+ Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent
+ Proven ability to implement and extend highly performant, resilient and reliable backend systems
+ Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks
+ Proficiency on developing containers like Docker and Kubernetes
+ Strong experience with Spark, Hadoop, HIVE, Kafka, Cassandra or other distributed systems
+ Hands on experience with top agile methodologies: test driven development and CI/CD environments
+ Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance
+ Clear and effective communicator, a creative problem solver and a thoughtful decision maker
You will be one of the founding members of the new ML Experimentation team; you will design and build a new generation of ML platform and core infrastructure for the Ads Platform organization. You will apply leading-edge technologies to deliver extraordinary innovation experiences to Apple users and advertisers while delivering on Apple's privacy commitments. Your work will be essential in full cycle of algorithm innovation from hypothesis, feature engineering, AB test management, to model training and deployment to online inference services and predictive applications in production. 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.
**Education & Experience**
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems, with exposure to AB testing and machine learning methodologies.
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