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Apple Lead Engineer- Data/Machine Learning United States, California, Cupertino 578187147
30.03.2024
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Key Qualifications
- 7+ years of development and/or system integration experience
- Polyglot programmer with proficiency in Python and any of JVM-based languages, skilled in problem-solving and software development
- Working experience in designing and developing end to end data solutions
- Proficiency working with large datasets, cloud database platforms and SQL.
- Working experience in but not limited to Hadoop, Spark/PySpark, Hive, Kafka and NoSQL databases a plus.
- Experience in applying ML techniques in manufacturing and testing space is a major plus.
- Knowledge of data mining, statistical modeling, and machine learning methodologies.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
- Experience with data visualization and presentation, familiar with data analysis tools such as Tableau, JMP.
- Strong facilitation skills (requirements sessions, design meetings, progress and status meetings)
Education & Experience
Bachelor’s degree in an engineering related field, or equivalent experience
Additional Requirements
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants
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 $160,700.00 and $241,500.00, 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.
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