Machine Learning Engineer - Apple Store Online
Role Overview
Join the Apple Store Online team, which develops customer shopping, purchasing, and learning experiences for Apple's online store.
The hands-on applied Machine Learning Engineer will work on the Online Retail Decision Automation team and develop algorithms for the online retail experience.
Work spans product search, recommendation systems, personalization, Generative AI, and optimization of Apple-wide systems and infrastructure.
Key Skills for This Role
Full Job Posting
Role overview
Join the Apple Store Online team, which develops customer shopping, purchasing, and learning experiences for Apple's online store.
The hands-on applied Machine Learning Engineer will work on the Online Retail Decision Automation team and develop algorithms for the online retail experience.
Work spans product search, recommendation systems, personalization, Generative AI, and optimization of Apple-wide systems and infrastructure.
Description
- Research and develop machine learning algorithms and models for the Apple Online Store.
- Build solutions for product search, recommendations, ranking, page generation, personalization, messaging, and marketing.
- Collaborate with researchers, engineers, data scientists and analysts, and product managers to develop and implement algorithms.
- Mentor other machine learning engineers and lead development of scalable end-to-end solutions for retail customers.
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.
- 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; experience with big-data technologies such as Spark, SQL, Snowflake, or Hadoop.
- Experience operationalizing distributed applications.
- Experience building full-stack applications for big-data analysis, feature extraction, and annotation.
About Apple
Apple describes accessibility as a fundamental human right and says it is reflected in its culture, benefits, and digital tools.
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