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Apple Senior Software Engineer - Apple TV Data Platform Team 
United States, California, Cupertino 
810432768

06.06.2024
Key Qualifications
  • Proficiency in software programming with Java, Python, and Spark for data analysis and feature extraction.
  • Experience in machine learning or record linkage system design and development. Bonus points for expertise in natural language processing, such as text feature extraction, entity extraction, and transfer learning.
  • Familiarity with Kafka messaging system, micro-services architecture, and reactive Java programming.
  • Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene.
  • Ability to collaborate effectively in cross-functional teams.
  • Excellent problem-solving and interpersonal skills.
Education & Experience
Bachelor’s degree or Master's degree in computer science or a related technical field, or equivalent practical experience.* 4 years of experience with software development in one or more programming languages, and with data structures/algorithms.* 3 years of experience testing, maintaining, and/or launching software products, and 1 year of experience with software design and architecture.* Experience with machine learning algorithms and tools, entity extraction, or natural language processing.
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 $138,900 and $256,500, 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.