SWE - Senior ML Engineer - Siri User Experience Metrics and Data

Sr. ML Engineer, Siri User Experience Metrics and Data

Cupertino, California, United States Software and Services

We’re looking for a Senior Machine Learning Engineer to help build the next generation of tools and platforms that power high-impact decisions across Siri. In this role, you’ll operate at the intersection of engineering excellence and business impact. You’ll 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 strategy.

The 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 Siri’s User Experience across Apple platforms including iOS, macOS, vision

OS, tvOS and watch

OS. Our team defines and owns the most critical user-facing metrics, 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 it.

As a Senior ML engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in improving Siri user experience by contributing to efforts including building a trustworthy and explainable anomaly detection system to automatically identify regressions in Siri performance and alert engineering teams with actionable insights for debugging performance issues. If this sounds like you, you’re someone who’s 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 products.

You’ll 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.

We’re looking for a Senior Machine Learning engineer with a proven record of building scalable statistical systems for business applications in a fast-paced environment. In this role you will drive the technical vision for Siri’s automated anomaly detection platform for detecting performance and reliability regressions. You are someone who is passionate about shipping quality code and continually improving our anomaly detection systems.

You will be responsible for defining, developing and delivering key features for high-quality alerting to enable teams to troubleshoot regressions rapidly. You are someone who works extremely well across teams and organizations and demonstrates strong communication and technical leadership skills and the ability to engage with colleagues and leadership to find common ground on solving hard problems. You are someone who shares technical vision with leadership and engineering teams, gathers feature requirements, defines technical roadmaps and executes efficiently.

You will be responsible for technically representing the team and communicating progress on key deliverables across the organization from peer groups to senior leadership. As the Senior ML engineer on the team, you will be responsible for owning the technical roadmap, onboarding and mentoring team members, and leading the team to deliver high-impact outcomes. You are someone comfortable executing in a rapidly changing environment with ambiguous requirements to drive impact incrementally.

You demonstrate strong problem-solving skills and are self-directed with a proven ability to execute. You continually desire learning and demonstrate attention to details and find opportunities to innovate and share knowledge with others.

• Master’s degree with 8+ years of industry experience in machine learning, or Ph.D. with 5+ years, applying ML to real-world business problems.
• Strong understanding of core ML concepts,…