Apple
Machine Learning Engineer, Apple Store Online
$116K–$225K
Austin, Texas +2 · Full-time · Posted May 28, 2026
- Location
- Austin, Texas
Cambridge, Massachusetts
Cupertino, California - Education
- Bachelor’s degree in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or a quantitative bachelor’s degree with AI-focused coursework.
About the job
Develop and deploy scalable machine-learning solutions for Apple’s online retail experience, including search, recommendations, personalization, and generative AI.
What you'll do
- Build production-ready ML solutions from initial concept through deployment.
- Improve ML infrastructure and tooling.
- Collaborate across teams and mentor MLEs while developing end-to-end systems.
What they ask for
- Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, and experience building highly scalable distributed systems.
- Hands-on experience building data-processing pipelines, large-scale ML systems, and big-data technologies.
- Bachelor’s degree in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or a quantitative bachelor’s degree with AI-focused coursework.
Nice to have
- Understanding of the ML model lifecycle, from prototyping through monitoring and continuous improvement.
- Experience in recommender systems, personalization, search, computational advertising, or NLP, including RAG-based generative AI and transformer architecture.
Pay
$129,300 and $225,300 USD base salary; $116,400 and $203,000 USD base salary
Tools
Python, Java, C++, Spark, SQL, Snowflake, Hadoop, TensorFlow
AI focus
Research and develop ML algorithms for search, recommendations, personalization, generative AI, and retail decision automation; build and deploy scalable end-to-end ML systems.
Model-written summary · the original posting is authoritative