Machine Learning Engineer – Fraud Engineering, Algorithms, and Risk


Job Overview

Key Qualifications

  • – Strong working knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
  • – Strong programming skills in Scala, Java, Python, or similar language
  • – Working knowledge of SQL, Spark, or Hive preferred
  • Excellent social, written, and verbal communication skills
  • Confidence working independently and making key decisions on projects
  • Industry experience preferred but exceptional fresh graduates may also apply
  • Description

    We are responsible for tackling account trust, safety and abuse problems across Apple’s Internet Software and Services. You will work hand-in-hand with other engineers, program managers and business partners to identify problems, define solutions, execute plans, measure and communicate results on a regular basis.Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in significant ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements.

    Education & Experience

    BS Computer Science

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