below marketmost similar roles pay hereabove market
This role pays less than
91%
of similar roles. Most pay
$202,800–$254,750
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
JOB TITLE: Machine Learning Engineer, Apple Store Online
The Machine Learning Engineer, Apple Store Online joins the Online Retail Decision Automation team to research and develop next-generation algorithms for the digital shopping experience. This role involves building scalable, production-ready machine learning solutions for product search, recommendation systems, personalization, and Generative AI. You will lead efforts to develop models for ranking, page generation, and marketing messaging while optimizing Apple-wide systems and infrastructure. Key responsibilities include taking algorithms from initial concept through deployment, mentoring other engineers, and improving ML tooling. Required skills include proficiency in Python, Java, or C++, and experience with Spark, SQL, Snowflake, Hadoop, TensorFlow, Keras, and PyTorch. You will solve complex retail problems using deep learning, bandits, probabilistic graphical models, and reinforcement learning to enhance the online customer journey.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Research and develop next-generation algorithms for product search and recommendation systems.
Build scalable, production-ready machine learning solutions from initial concept through deployment.
Develop models for personalization, including evidence, messaging, and marketing.
Implement Generative AI solutions and RAG-based architectures for the online store.
Build and maintain large-scale data processing pipelines using big data technologies.
Optimize Apple-wide machine learning systems and infrastructure.
Mentor other Machine Learning Engineers on the team.
Monitor and perform deep analysis for continuous improvement of deployed models.
What we're looking for
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++.
Experience building highly scalable distributed systems.
Hands-on experience building data processing pipelines, large-scale machine learning systems, and big data technologies like Spark, SQL, Snowflake, or Hadoop.
Bachelor's degree in a quantitative field like Computer Science, Applied Mathematics, or Statistics with a focus on AI.
Understanding of the machine learning model lifecycle from prototyping to deployment and monitoring (preferred).
Experience in Recommender Systems, Personalization, Search, Computational Advertising, or NLP including RAG-based Generative AI and transformer architecture (preferred).
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications (preferred).
Experience with Spark, TensorFlow, Keras, and PyTorch (preferred).
Python
Java
C++
Machine Learning
Generative AI
PyTorch
TensorFlow
Keras
Spark
SQL
Snowflake
Hadoop
Natural Language Processing
Transformer Architecture
Reinforcement Learning
Deep Learning
Distributed Systems
RAG
Feature Engineering
Python
Java
C++
Machine Learning
Generative AI
PyTorch
TensorFlow
Keras
Spark
SQL
Snowflake
Hadoop
Transformer Architecture
RAG
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines