Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• Machine Learningintermediate
• designing Machine Learning systemsintermediate
• building Machine Learning systemsintermediate
• building data pipelinesintermediate
• safeguarding advertiser trustintermediate
• enhancing invalid traffic protectionsintermediate
• defining innovation roadmapintermediate
• executing innovation roadmapintermediate
• deploying modelsintermediate
• CI/CDintermediate
• feature storesintermediate
• streaming infrastructureintermediate
• Kafkaintermediate
• Sparkintermediate
• Flinkintermediate
• A/B experimentationintermediate
• performance tuningintermediate
• model calibrationintermediate
• drift detectionintermediate

Required Qualifications

• 4+ years of experience building machine learning capabilities across many different product areas at scale (experience, 4 years)
• Strong proficiency in Java, Python, or Scala for algorithm and system development. (experience)
• Experience with distributed systems and big data frameworks such as Spark, Kafka, Hadoop, or Flink. (experience)
• Solid understanding of data structures, algorithms, and system design principles. (experience)
• Familiarity with CI/CD workflows, cloud environments, and containerized deployments. (experience)
• Knowledge of data validation, cleansing, and quality assurance practices. (experience)
• Understanding of statistical methods, A/B testing, and online experimentation frameworks. (experience)
• BS or MS in Computer Science, Software Engineering or related technical fields. (experience)

Preferred Qualifications

• 7+ years of experience building machine learning capabilities across many different product areas at scale. (experience, 7 years)
• Background in Advertising systems. (experience)
• Contributions to open-source algorithm frameworks or data processing tools. (experience)
• Prior experience working with Anomaly detection is a plus. (experience)

Responsibilities

• Apple Ads is Hiring a hands-on Machine Learning Engineer. In this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost.
• Develop Offline and Online Inference Models for large scale data.
• Design, develop, and optimize distributed algorithms and data processing frameworks(e.g. Spark).
• Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets.
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
• Stay up to date with developments in the machine learning industry
• Collaborate with product and engineering teams on production systems and applications.
• Drive performance optimization, bottleneck analysis, and system tuning across compute and storage layers.
• Build tools to support A/B testing, statistical evaluation, and experimentation pipelines.
• Ensure data integrity, security, and compliance across all solutions.
• Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products.

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