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Job Details

Machine Learning Engineer

  2025-04-06     Apple, Inc.     Austin,TX  
Description:

Austin, Texas, United States Software and Services

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Description

We are looking for a Machine Learning Engineer to work on our software security technologies to develop and launch new products. You will work hand-in-hand with software engineers, security engineers, program managers, and business partners to understand problems, define data-driven solutions, implement plans, and communicate results on a regular basis. Here you will use your initiative to take end-to-end responsibility for translating customer needs into analytical solutions from feature engineering, implementation, model training, and reporting. You will have a chance to take ownership of a problem area, apply expertise in machine learning and data science in an innovative and agile environment.

Minimum Qualifications

  • Experience with machine learning algorithms including classification, clustering algorithms, and anomaly detection.
  • Understanding of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark.
  • Strong programming skills in one or more of the following languages: Scala, Python, Java, Objective-C, or similar.
  • Efficiently and succinctly communicate results of analysis to business partners and executives.
  • Bring innovation to machine learning, data science, and engineering solutions and push beyond current tools and approaches.
  • Highly motivated and organized, with the ability to accept ambiguity and deliver outstanding results on tight schedules through multi-functional collaboration.

Preferred Qualifications

  • Familiarity with iOS/Swift.
  • Understanding of privacy-preserving techniques.

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. Learn more about your EEO rights as an applicant.

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