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Apple Machine Learning Engineer - Strategic Data Solutions United States, Washington, Seattle 630105456
21.09.2024
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Description
• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions• Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem• Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions• Ensure operational and business metric health by monitoring production decision points• Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes• Communicate results of analyses to business partners and executives
Minimum Qualifications
- Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
- Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams
Preferred Qualifications
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
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 $135,400 and $204,000, 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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