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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 for Siri's performance and reliability.
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.
- Collaborate with cross-functional teams to improve system performance and troubleshoot performance bottlenecks.
- Develop and maintain rigorous statistical methodology scalable for automation.
- Communicate complex concepts and empower others to leverage self-service tools for data analysis and deep-dives.
- Master's degree in Applied Statistics, Machine Learning, Time Series Analysis, or related field.
- At least 6 years of industry experience in statistical machine learning or PhD degree 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.
- Proven record of being customer and impact-focused, ability to set the technical vision for long-term projects, and delivering results iteratively.
- Excellent analytical skills, critical thinking, and leadership experience.
- 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.
At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, commission payments, and relocation assistance. Our benefits include comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. We also offer reimbursement for certain educational expenses and the opportunity to become an Apple shareholder through our discretionary employee stock programs.
