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Apple

Machine Learning Engineer - APAC

Early Applicant
  • a month ago
  • Be among the first 50 applicants
Exp: 0-2 Years

Electronics Manufacturing

Job Description

Job Description

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's Strategic Data Solutions (SDS) team is looking for a hardworking individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its customers. As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services. 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. On this team, we will push the limits of existing data science methods while delivering tangible business value!

Description

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

Minimum Qualifications

  • Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Ability to comprehend and debug complex systems integrations spanning toolchains and teams

Preferred Qualifications

  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches
  • 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

More Info

Date Posted: 15/10/2024

Job ID: 96384629

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About Company

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Apple Inc. is an American multinational technology company that specializes in consumer electronics, software and online services headquartered in Cupertino, California, United States. Apple is the largest technology company by revenue (totaling US$365.8 billion in 2021) and as of May 2022, it is the world's second biggest company by market capitalization,the fourth-largest personal computer vendor by unit sales and second-largest mobile phone manufacturer. It is one of the Big Five American information technology companies, alongside Alphabet, Amazon, Meta, and Microsoft.

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