← All roles

Machine Learning Engineer - Strategic Data Solutions (Retail Fraud)

Apple· Corporate Functions
Apply on company site
ShanghaiNot specifiedPosted 3d ago

About the role

SDS Machine Learning Engineer role focused on building, deploying, and operating predictive models and analytical solutions to improve security, fraud prevention, and operational efficiency across Apple’s ecosystem. Responsibilities include engaging with business teams, designing data science approaches, collaborating with data engineers, ensuring production metric health, monitoring decisioning, and investigating adversarial trends.

Responsibilities

  • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions.
  • Design a data science approach, applying tried-and-true techniques or developing custom algorithms as needed for the business problem.
  • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.
  • Ensure operational and business metric health by monitoring production decision points.
  • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes.
  • Communicate results of analyses to business partners and executives.

Qualifications

  • Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark.
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java.
  • Ability to comprehend and debug complex systems integrations spanning toolchains and teams.
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns.
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways.
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches.
  • Experience working building and work with integrated LLM architectures.

Skills

Required:Classification algorithmsRegression algorithmsClustering algorithmsAnomaly detectionSQLBig data frameworksProgramming languagesData science pipelines
Nice to have:LLM architectures

Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally.
  • Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
  • Accessibility is a fundamental human right; Apple emphasizes accessibility in culture, benefits, and tools.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple