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Machine Learning Engineer - Apple Store Online

Apple
Karnataka, IND
Full-time
Onsite
Discovered Today
Machine learningApplied machine learning algorithmsSoftware developmentPythonJavaC++

Full Job Posting

Role overview

The Apple Store Online team builds digital shopping, purchasing, and learning experiences for Apple's online store.

The hands-on Machine Learning Engineer will work on the Online Retail Decision Automation team to develop algorithms for the Apple Online experience.

The role spans product search, recommendation systems, personalization, generative AI, and optimization of Apple-wide systems and infrastructure.

Responsibilities

  • Research and develop machine learning algorithms for online retail decision automation.
  • Build models for product search, ranking, recommendations, and page generation.
  • Develop personalization solutions for customer evidence, messaging, and marketing.
  • Contribute to generative AI and optimization of Apple-wide systems and infrastructure.
  • Collaborate with researchers, engineers, data scientists and analysts, and product managers to develop and implement algorithms.
  • Lead scalable, end-to-end machine learning solutions for retail customers and mentor other machine learning engineers.

Minimum qualifications

  • 10+ years of related experience building high-throughput scalable applications or machine learning models.
  • Proficiency in one or more object-oriented languages such as Python, Java, or C++, and experience building distributed systems.
  • Strong communication, problem-solving, and strategic-thinking skills.
  • Bachelor's degree in a quantitative field such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.

Preferred qualifications

  • Experience building data processing pipelines and large-scale machine learning platforms using technologies such as Spark, SQL, Snowflake, or Hadoop.
  • Experience operationalizing distributed applications.
  • Experience building full-stack applications for big-data analysis, feature extraction, and annotations.

About Apple

Apple describes inclusion and accessibility as important parts of its workplace culture and digital tools.

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