Description

Description

We are seeking a Senior Software Engineer to join our Siri AI Data and Privacy Quality Engineering team. In 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 architecture. This 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, we'd love to hear from you!

Minimum Qualifications

• 5+ years of proven experience designing, implementing, and optimizing large-scale data-driven platforms and frameworks, APIs, services, and tools
• Strong programming skills in Swift, with Python experience being highly valued
• 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

Preferred Qualifications

• 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
• Thorough understanding of backend architecture, privacy-preserving data practices, and large-scale system design
• Experience in designing and building scalable ETL pipelines, high-performance data stores, and automated workflows

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .