Machine Learning Engineer - Fraud Engineering, Algorithms, and Risk

Cupertino, CA 95014
  • Job Code
    200185527
Summary

Summary

Posted: Aug 18, 2020

Role Number:200185527

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experien...Summary

Summary

Posted: Aug 18, 2020

Role Number:200185527

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Internet Software and Services is responsible for delivering cutting edge Internet applications like the App Store, Apple Music and iCloud that are used by hundreds of millions of users every day across the globe. Our team protects Apple services and customers from abuse through a combination of threat modeling, data analysis, and machine learning.

We are seeking a machine learning engineer with a drive to turn the huge amounts of data generated by these applications into feature improvements that enhance customer experience. A successful candidate will have a bent for applied research with expertise in anomaly detection, predictive modeling, classification and optimization. Successful candidates will take pride in designing, developing, and deploying algorithms that have direct impact on services that Apple provides to customers. The role requires broad knowledge of machine learning and the software engineering expertise to develop and deploy highly scalable algorithms.

We encourage engineers to stay abreast of machine learning research by attending conferences. We cultivate a collaborative work environment, but allow solution autonomy on projects.

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

Additional Requirements

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Machine Learning Engineer - Fraud Engineering, Algorithms, and Risk

Apple, Inc.
Cupertino, CA 95014

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