Machine Learning Engineer - Apple Pay

Summary Posted: Aug 2, 2024 Weekly Hours: 40 Role Number: 200561630 Are you motivated in 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. Description 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. Minimum Qualifications 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 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 Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications 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 BS Computer Science or Equivalent Education & Experience Education & Experience Additional Requirements Additional Requirements More 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.