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Machine Learning Engineer - Strategic Data Solutions (Retail Fraud)

Apple· Corporate Functions
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ShanghaiFull-timePosted 3d ago

About the role

SDS Machine Learning Engineer to design, implement, and operate predictive modeling and statistical analyses for security, fraud prevention, and operational efficiency across Apple. Focus on end-to-end solutions with real-time and batch decisioning, collaboration with data engineers and platform architects, and monitoring of production metrics. Emphasis on privacy, adversarial fraud, and large-scale data systems.

Responsibilities

  • Engage with business teams to identify opportunities, understand requirements, and translate them into technical solutions.
  • Design a data science approach using established techniques or custom algorithms to solve business problems.
  • 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 with integrated LLM architectures.

Skills

Required:Predictive modeling and statistical analysisSQL and relational databasesDistributed systems (Hadoop, Spark)Python/Scala/JavaFeature engineeringLLM architecturesCommunication and presentation
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.

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