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 across various Apple platforms. This role involves setting the technical vision, defining key features, and collaborating with cross-functional teams to deliver impactful solutions that enhance Siri's reliability and performance.

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 rapidly.
• Communicate technical vision and progress on key deliverables across the organization.
• Onboard and mentor team members, leading the team to deliver high-impact outcomes.
• Engage with leadership and engineering teams to gather feature requirements and define technical roadmaps.
• Execute in a rapidly changing environment with ambiguous requirements to drive incremental impact.

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, such as anomaly detection using time series analysis, at production scale.
• 3 years of coding experience in programming languages such as Python, Java, or Scala.
• Proven record of being customer and impact focused, with the ability to set the technical vision for long-term projects.
• Strong communication skills to effectively convey complex concepts and empower others.

Nice-to-haves

• Prior experience building and owning anomaly detection frameworks for business metrics.
• Proven record of delivering analytics tools end to end, from identifying customer requirements to building scalable analytics tools.
• 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