Machine Learning Engineer - Fraud Engineering, Algorithms, and Risk
Posted: Mar 25, 2019
Weekly Hours: 40
Role Number: 200044188
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 & Services is responsible for delivering groundbreaking Internet applications like the App Store, iTunes, Apple Music and iCloud that are used by hundreds of millions of users every single day across the globe. We are seeking a machine learning engineer with a dedication to turn the huge amounts of data generated by these applications into business insights that improve customer experience. You will have a bent for applied research with expertise in pattern mining, anomaly detection, predictive modeling, classification and optimization. You will take pride in crafting, developing, deploying, and sustaining analytical solutions that have direct and measurable impact. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when necessary. We urge engineers to stay abreast of data mining & machine learning research by attending conferences and working with academic faculty and students. We cultivate a reciprocal work environment, but allow solution autonomy on projects.
- Strong working knowledge of machine learning algorithms including classifiers, clustering algorithms and anomaly detection techniques.
- Familiarity with database modeling and data warehousing principles and SQL.
- Familiarity with Big Data tools like Spark, Hive etc.
- Strong programming skills in Scala, Java, Python, or similar language
- Excellent social, written, and verbal communication skills
- Ability and solace working independently and making key decisions on projects
- Industry experience preferred but exceptional fresh graduates may also apply
We are responsible for tackling fraud, abuse & account security problems across Apple's Internet Services. You will work hand-in-hand with other engineers, program managers and business partners to identify problems, define data-driven solutions, execute plans, measure and communicate results on a regular basis.
Education & Experience
Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience. 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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