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Apple ML Engineer - Media United States, California, Cupertino 240350337
12.09.2024
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Description
This role will include the following responsibilities:Analyzing search retrieval and relevance requirements, issues and opportunitiesUnderstanding product requirements, translate them into modeling tasks and engineering tasksBuilding end-to-end production system including retrieval and ranking to power searchConduct A/B tests to ensure we objectively measure improvementsUtilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
- 5+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining
- Mastery of two of following languages: Python, Go, Java, C++
- Excellent knowledge and good practical skills in major ML and NLP algorithms
- Excellent data analytical skills
- Experience with large scale search and machine learning systems is highly desired
- Experience with data transformation pipelines and Hadoop, Hive, and/or Impala is a plus * Familiarity with A/B experimentation
- Excellent interpersonal and communication skills
- Deep understanding of search and information retrieval including indexing, query rewriting, retrieval and ranking *
- Experience building search or recommender systems using LLMs
Preferred Qualifications
- Understanding of the Movies/Tv-Shows/Sports or equivalent media business
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 $207,800 and $312,200, 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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