Sr Software Engineer, Siri User Experience Metrics and Data

Join the team redefining what a deeply personal and integrated assistant can be. nnAs part of the Siri organization you will help shape one of the worlds most widely used AI assistants powered by our next-generation of Apple Intelligence with capabilities like personal context understanding and on-screen awareness built with privacy from the ground up. Your work will have direct meaningful impact for users across iOS iPadOS macOS watchOS and is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design shipping technology that is centered around users and their looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across this role youll operate at the intersection of engineering excellence and business impact. Youll design and implement scalable reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility high-impact position with the opportunity to influence the direction of products and strategynnThe Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data metrics and insights to continuously improve Siris User Experience across Apple platforms including iOS macOS visionOS tvOS and team defines and owns the most critical user facing metrics identifies quality issues builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking we make sure Siri feels fast natural and helpful wherever users need a Senior Software Engineer on the Siri User Experience Metrics team you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siris User this sounds like you youre someone whos laser-focused on impact - bringing sharp programming skills strong problem-solving abilities and clear communication to the table all driven by a passion for building exceptional have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering Product Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day.

Join us in building the data backbone of Siris regression detection system - the platform that enables engineering teams and senior leadership to see understand and improve product this role youll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence but also the ability to collaborate across teams communicate effectively and align diverse stakeholders around solving complex high-impact thrive in fast-paced dynamic environments and are comfortable navigating ambiguity to deliver meaningful incremental impact. You bring strong problem-solving skills operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing CI/CD documentation monitoring and alerting - to ensure reliable maintainable this role youll collaborate closely with stakeholders to understand metric needs provide technical guidance gather requirements and deliver robust data solutions and intuitive dashboards.

7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. nExpert knowledge of one or more object-oriented programming languages (Java Objective-C C Scala Swift etc) or scripting languages (Python Ruby Bash etc.).nExperience working with Spark or other distributed data technologies (e.g. Hadoop Presto Flink Druid) for building efficient and large scale data in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns draw insights and troubleshoot issues. nKnowledge of SQL to analyze data derive insights and drive experience including being a technical lead for complex cross functional development projects demonstrating good technical judgement and prioritization skills.

Experience supporting the end-to-end machine learning lifecycle including data ingestion feature pipelines batch inference and model monitoring in production -on experience building scheduling and maintaining data and ML workflows using orchestration frameworks such as Apache AirflownExperience working in cloud environments (AWS GCP or Azure) and integrating data pipelines with cloud-native storage and compute services