Machine Learning Engineer- iPhone Operations

Apple
Apple

Job Overview

Key Qualifications

  • Minimum three years of proven hands-on experience applying machine learning techniques to build models integrated into applications or research.
  • Strong working knowledge of machine learning/data mining algorithms (deep learning, classification, clustering, etc)
  • Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations
  • Strong software development skills with proficiency in Python and R. Experienced user of libraries such as scikit-learn, scipy, R, NetworkX, Spacy, and NLTK.
  • Experience in Hadoop, Spark, Hive, Cassandra, Kafka and NoSQL databases a plus
  • Ability to meaningfully present results of analyses in a clear and impactful
  • manner
  • Nice to Have:
  • Experience with Image Analysis/Computer Vision
  • Knowledge or familiarity of ML algorithms (deep learning, classification, clustering, Torch, Caffe, MXNet, TensorFlow)
  • Familiarity with manufacturing, or an industrial domain
  • Description

    Product Operations partners with a variety of different engineering and operations teams, the ML Data Science team leads development of machine learning solutions for a variety of tasks and projects. This Data Scientist/ML Engineer will be responsible for delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will also perform ad-hoc statistical and data science analyses. You will also work closely with data engineers to generate seamless business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.

    Education & Experience

    Ph.D. in Machine Learning, Data Science, Statistics, Operations Research or related fields with experience applying machine learning techniques to real business problems. Master of Machine Learning, Data Science, Statistics, Operations Research or related fields with 5+ years’ experience applying machine learning techniques to real business problems. 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.

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