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Senior Machine Learning Engineer for Siri Performance and Reliability
2 months ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our AIML Performance and Reliability team. As a key member of our team, you will be responsible for designing and developing a trustworthy anomaly detection platform to improve Siri's performance and user experience.
Key Responsibilities- Define and develop key features for high-quality alerting to enable teams to troubleshoot regressions rapidly
- Set the technical vision for Siri's automated anomaly detection platform and lead the team to deliver high-impact outcomes
- Communicate progress on key deliverables across the organization from peer groups to senior leadership
- Own the technical roadmap for the team, onboard and mentor team members, and lead the team to deliver high-impact outcomes
- Graduate degree in Applied Statistics, Machine Learning, Time Series Analysis, or related field
- Master's degree plus at least 6 years of industry experience in statistical machine learning, or PhD degree with at least 3 years industry experience applying statistical modeling for business problems
- 3 years experience building systems based on rigorous statistical or ML methodology, such as anomaly detection using time series analysis, at production scale
- 3 years coding experience in programming languages such as Python, Java, or Scala
- Prior experience building and owning anomaly detection frameworks for business metrics for different engineering stakeholders
- Proven record of delivering analytics tools end-to-end — from identifying customer requirements to quickly building prototypes to building scalable analytics tools to enable customers
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
