drjobs Senior Software Engineer, Siri AI Data & Privacy Quality Engineering

Senior Software Engineer, Siri AI Data & Privacy Quality Engineering

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking a Senior Software Engineer to join our Siri AI Data and Privacy Quality Engineering this role you will be responsible for designing building and evolving the evaluation environments and fundamental assertions to validate the instrumentation of our AI assistant products at scale with a focus on user privacy. You will create tools and frameworks for instrumentation and privacy evaluation ensuring that our AI products meet their privacy promises and are instrumented for trustworthy measurement. Your work will involve collaborating closely with data and product engineering teams to provide evaluation methodologies and automation frameworks within a micro-services position is ideal for systems & framework engineers who are passionate about quality enjoy creating scalable evaluation systems and are eager to contribute to the success of pioneering AI products. If you feel this is you wed love to hear from you!


  • 5 years of proven experience designing implementing and optimizing large-scale data-driven platforms and frameworks APIs services and tools
  • Thorough understanding of backend architecture privacy-preserving data practices and large-scale system design
  • Strong programming skills in Swift with Python experience being highly valued
  • Experience in designing and building scalable ETL pipelines high-performance data stores and automated workflows
  • Experience building dashboards and analytics solutions using tools like Tableau Grafana Superset or Splunk to visualize KPIs and monitor data quality
  • Demonstrated success in collaborating cross-functionally with engineering machine learning and data science teams to solve sophisticated challenges
  • BS/MS or equivalent experience in Computer Science Engineering or a related field


  • Deep understating about large scale data validation platforms with focus on privacy
  • Experience building and deploying applications with Kubernetes
  • Knowledge of statistics-based evaluation approaches ML training pipelines and techniques for enhancing the accuracy of ML systems
  • Strong attention to detail and proven track record of delving into data uncovering hidden patterns and conducting comprehensive error/deviation analysis

Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

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