AIML - Sr Machine Learning Engineer, Siri Performance and Reliability

$166,600 - $296,300/Yr

Apple - Seattle, WA

Full-time - Senior

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

The Senior Machine Learning Engineer will lead the development and architecture of a trustworthy anomaly detection system for Siri, aimed at improving performance and user experience. This role involves creating a technical vision for the platform, understanding user requirements, and applying rigorous statistical methodologies to automate the detection of performance regressions. The engineer will work closely with cross-functional teams to deliver impactful solutions that enhance Siri's functionality across various Apple platforms.

Responsibilities

• Lead the development and architecture of an anomaly detection platform for Siri.
• Define, develop, and deliver key features for high-quality alerting to troubleshoot regressions.
• Communicate technical vision and progress to leadership and engineering teams.
• Gather feature requirements and define technical roadmaps for the Tools team.
• Onboard and mentor team members, fostering a collaborative environment.
• Drive impact incrementally in a rapidly changing environment with ambiguous requirements.
• Innovate and share knowledge with others to improve systems.

Requirements

• Graduate degree in Applied Statistics, Machine Learning, Time Series Analysis, or related field.
• Master's degree with at least 6 years of industry experience in statistical machine learning, or PhD with at least 3 years of industry experience.
• 3 years of experience building systems based on rigorous statistical or ML methodology, particularly in anomaly detection using time series analysis.
• 3 years of coding experience in Python, Java, or Scala.
• Proven record of being customer and impact-focused, with the ability to set technical vision for long-term projects.
• Strong communication skills to explain complex concepts and empower others.
• Innovative problem-solving ability with excellent analytical skills and critical thinking.
• Leadership experience as a technical lead for complex development projects.

Nice-to-haves

• Prior experience building and owning anomaly detection frameworks for business metrics.
• Proven record of delivering analytics tools end to end, from requirements gathering to scalable tool development.
• Experience in improving system performance and troubleshooting performance bottlenecks.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments
• Relocation assistance