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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - Ads Platform - **Company:** Apple Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Agile Methodology, Big Data, Continuous Integration, Data Validation, Data Integrity, Data Structures, Distributed Systems, Apache Hadoop, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Systems Development Life Cycle, Software Engineering, Data Processing, Cloud Platform System, Apache Spark, Build Management, Containerization, Information Technology, Low Latency, Apache Flink, Data Analytics, Integration Frameworks, Apache Kafka, Build Tools, Machine Learning Operations, Data Pipelines, Software Library - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0141571ef873b0ff ## About the Role Do you have experience in Testing and evaluation?, Do you have a Bachelor's degree?, 10+ years of experience building machine learning capabilities across many different product areas at scale. Background in Advertising systems. Contributions to open-source algorithm frameworks or data processing tools., 8+ years of experience building machine learning capabilities across many different product areas at scale Strong proficiency in Java, Python, or Scala for algorithm and system development. Experience with distributed systems and big data frameworks such as Spark, Kafka, Hadoop, or Flink. Solid understanding of data structures, algorithms, and system design principles. Familiarity with CI/CD workflows, cloud environments, and containerized deployments. Knowledge of data validation, cleansing, and quality assurance practices. Understanding of statistical methods, A/B testing, and online experimentation frameworks. Prior experience working with Anomaly detection is a plus. BS or MS in Computer Science, Software Engineering or related technical fields. ## Description 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. ","responsibilities":"Develop and manage end-to-end lifecycle of machine learning models, including observability for large-scale, high-throughput, and low-latency production systems. 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. Reinforce Ads integrity and advertiser trust by safeguarding infrastructure. 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. 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