What are the responsibilities and job description for the Machine Learning Engineer - Apple Pay position at Apple?
Summary
Posted:
Weekly Hours: 40
Role Number:200494410
Are you motivated by providing software security technologies to help users protect their accounts and provide the best customer experience? Are you a Machine Learning Engineer who enjoys crafting, implementing and operating analytical solutions? If so, we invite you to come and join the Apple Pay Security team in transforming the smartphone into a device that secures the user's digital life without sacrificing privacy!
Our team employs predictive modeling and statistical analysis techniques and collaborates cross functionally with engineering teams across Apple. Our team builds end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company.
Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. Here, we push the limits of existing data science methods by combining applied research with creative ideas and multi-functional collaboration.
Key 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 following language: Scala, Python, Java, Objective-C or similar
- Highly motivated and organized, with the ability to accept ambiguity and deliver outstanding results on tight schedules through multi-functional collaboration
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 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.
Apple is committed to creating a diverse working environment for everyone and is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, age, veteran or immigrant status.
Education & Experience
BS Computer Science or Equivalent
Additional Requirements
- Efficiently and succinctly communicate results of analysis to business partners and executives
- Bring innovation to machine learning, data science and engineering solutions and to push beyond current tools and approaches
- Understanding of privacy-preserving techniques is a plus
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