Machine Learning Engineer **Austin, Texas, United States** **Software and Services** **Summary** Posted: **Apr 02, 2025** Weekly Hours: **40** Role Number: **200598107** Are you motivated by providing software security technologies to offer the best customer experience and help users protect their accounts? 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 builds end-to-end solutions for improving security, fraud prevention, and operational efficiency across Apple. Our team collaborates cross-functionally with engineering teams 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** 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** + 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 + Efficiently and succinctly communicate results of analysis to business partners and executives + Implicitly evaluated/covered in the group presentation + Bring innovation to machine learning, data science and engineering solutions and to push beyond current tools and approaches + Highly motivated and organized, with the ability to accept ambiguity and deliver outstanding results on tight schedules through multi-functional collaboration **Preferred Qualifications** + Familiarity with iOS/Swift + Understanding of privacy-preserving techniques 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.