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Apple Machine Learning & Analytics Software Engineer OS Power Performance United States, California, Cupertino 984910736
18.11.2024
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Minimum Qualifications
- Strong Quantitative Foundation and Technical Skills: Bachelor's degree in Computer Science, Electrical Engineering, or a related quantitative field (strong mathematical foundations, software engineering, broad knowledge of data analysis and practical machine learning)
- Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python & Spark) and data visualizations (e.g. Tableau)
- Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders.
- Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
Preferred Qualifications
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition
- Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino
- Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)
- Working knowledge of Operating Systems (memory management, thread/process lifecycles, file systems, etc.)
- Experience driving cross-functional projects with diverse sets of stakeholders
- Skilled at connecting data insights to the company's overall strategy and objectives.
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 $143,100 and $264,200, 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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