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Apple AIML - Sr Machine Learning Engineer Siri Performance Reliability United States, Washington, Seattle 88722017
18.07.2024
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Description
You are someone who works extremely well across teams and organizations and demonstrates strong communication and technical leadership skills and the ability to engage with colleagues and leadership to find common ground on solving hard problems. . 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.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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