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Apple AIML - Sr Machine Learning Engineer Siri Performance Reliability United States, Washington, Seattle 585439753
21.04.2025
As a Senior ML engineer on the AIML Performance & Reliability Tools team, you will have significant influence and responsibility in improving Siri performance and user experience by 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. You will be responsible for creating the technical vision for a trustworthy anomaly detection platform by understanding the user requirements, shortcomings of existing approaches, and identifying rigorous statistical methodology scalable for automation.
You are someone who shares technical vision to leadership and engineering teams, gathers feature requirements, defines technical roadmaps and executes efficiently. 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.
- Graduate degree specializing in the areas of 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
- Proven record of being customer and impact focused, ability to set the technical vision for long term projects and delivering results iteratively
- Ability to effectively communicate complex concepts and empower others to leverage self service tools for data analysis and deep-dives
- Innovative problem solving ability with excellent analytical skills and critical thinking
- Leadership experience, including being a technical lead for complex development projects demonstrating good technical judgement and prioritization skills.
- Demonstrated ability to work in a complex cross functional environment, ability to influence at all levels, and build strong relationships to deliver impact.
- 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.
- Previous experience in improving system performance and troubleshooting performance bottlenecks.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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