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indeed

Machine Learning Engineer - Apple Store Online

Apple
Karnataka, IND
Full-time
Onsite
Discovered Yesterday
Machine learning model developmentSoftware developmentPython, Java, or C++Distributed systemsScalable high-throughput applicationsProduct search and ranking

Full Job Posting

Role overview

The hands-on Machine Learning Engineer joins Apple Store Online's Online Retail Decision Automation team.

The team develops algorithms for the Apple Online experience, including product search, recommendations, personalization, generative AI, and Apple-wide systems and infrastructure.

Responsibilities

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

Minimum qualifications

  • At least 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.
  • Bachelor’s degree in a quantitative field such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
  • Strong communication, problem-solving, and strategic-thinking skills.

Preferred qualifications

  • Experience building data processing pipelines and large-scale machine learning platforms with 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.

Team context

Apple Store Online provides a digital shopping and learning experience for Apple customers.

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