This role pays more than
55%
of similar roles. Most pay
$184,625–$254,750
— the shaded band above.
At the midpoint, this role pays about
$229k
versus about
$220k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As a Senior Machine Learning Engineer, you will join the Online Retail Decision Automation team to research and develop next-generation algorithms for the online store experience. You will build scalable, production-ready machine learning solutions, improve ML infrastructure and tooling, and mentor junior engineers while taking models from initial concept through deployment. Your work focuses on critical product areas including search, recommendation systems, personalization, Generative AI, and system optimization. To succeed, you must possess strong software development skills and expertise in object-oriented programming languages like Python, Java, or C++. You will utilize big data technologies such as Spark, SQL, Snowflake, and Hadoop to build data processing pipelines. Preferred technical skills include experience with Recommender Systems, Natural Language Processing, Transformer architectures, Deep Learning, PyTorch, Keras, and TensorFlow to solve complex retail automation problems.
What does a Machine Learning Engineer earn?
Median $236000 from 319 postings across 54 companies.
Research and develop next-generation algorithms for product search, recommendation systems, and personalization.
Develop and implement Generative AI models using RAG and transformer architectures.
Build scalable, production-ready machine learning solutions from initial concept through deployment.
Improve and maintain internal machine learning infrastructure and tooling.
Design and build large-scale data processing pipelines using big data technologies.
Optimize Apple-wide systems and infrastructure to support the online retail experience.
Mentor junior machine learning engineers on best practices and technical standards.
What we're looking for
Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent experience.
5+ years of experience building high throughput scalable applications or machine learning models.
Proficiency in object-oriented programming languages such as Python, Java, or C++.
Experience building distributed systems and data processing pipelines using Spark, SQL, Snowflake, or Hadoop.
Experience with Recommender Systems, Personalization, Search, Computational Advertising, or Natural Language Processing.
Experience with Generative AI (RAG based), transformer architecture, Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning.
Proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
Strong skills in communication, problem solving, critical thinking, and attention to detail.
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Recommender Systems
Natural Language Processing
Distributed Systems