Senior Software Engineer, Siri AI Data & Privacy Quality Engineering

Senior Software Engineer, Siri AI Data & Privacy Quality Engineering

Apple is where individual imaginations gather together, committing to the values that lead to phenomenal work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something. As part of Siri AI Quality Engineering, we are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AI/ML products to new products that will help millions get things done, across the globe? Join Siri AI Quality Engineering at Apple and contribute to a highly accomplished team dedicated to releasing high-quality software, models, and products!

Minimum Qualifications

• 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

Preferred Qualifications

• Deep understanding 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

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.