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Machine Learning Engineer - Strategic Data Solutions

Apple· Corporate Functions
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Hybrid (Austin, TX)Not specifiedPosted 2mo ago

About the role

SDS Machine Learning Engineer role focusing on predictive modeling and end-to-end analytic solutions to improve security, fraud prevention, and operational efficiency across Apple’s ecosystem. Emphasis on handling privacy, adversarial fraud, and large-scale data with production real-time and batch decisioning.

Responsibilities

  • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
  • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by 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 at least 4+ years of relevant 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

Skills

Required:Predictive modeling and statistical analysisData engineering collaborationSQL and relational databasesDistributed systems (Hadoop, Spark)Programming languages (Python, Scala, Java)Communication and presentation
Last updated Aug 21, 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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