This role pays more than
77%
of similar roles. Most pay
$207,168–$254,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$231k
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.
Sr. Machine Learning Engineer, Siri Global joins the Global Scaling, Data, and Tools team to advance the intelligence of the world's most popular intelligent assistant across various languages and markets. This role involves designing, building, and deploying machine learning systems to improve the accuracy, speed, reliability, and capability of models serving hundreds of millions of users on various devices. The engineer will work on ML modeling, algorithms, data platforms, and end-to-end product engineering. Key technical requirements include expertise in Large Language Models (LLMs), NLP, and deep learning frameworks like TensorFlow, PyTorch, or CoreML. Candidates should be proficient in object-oriented languages such as Java, C++, Objective-C, or Swift, along with scripting languages like Python. The role addresses the challenge of understanding diverse user intents through advanced machine learning systems and large-scale NLU technologies.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Design, build, and deploy large-scale machine learning systems to improve Siri's accuracy, speed, and reliability.
Develop and optimize Large Language Models (LLMs) and other foundation models for global use.
Build and maintain both server-based and on-device machine learning models across various Apple hardware.
Diagnose user-facing issues and develop principled technical solutions across the full engineering stack.
Mentor, motivate, and challenge other engineers to deliver high-quality features and products.
Communicate complex technical ideas and performance metrics to cross-functional stakeholders and leadership.
Conduct data science tasks including annotation, statistical analysis, and A/B testing in large-scale environments.
What we're looking for
Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or related fields.
Bachelor's degree with multiple years of significant engineering and product experience is acceptable for outstanding candidates.
10+ years of experience developing, shipping, and measuring industry-scale machine learning-based software systems.
Experience as a senior engineer, tech lead, or manager including mentoring others and communicating with cross-functional stakeholders.
Expertise in Large Language Models (LLMs) or foundation models demonstrated through publications or shipped products.
Strong background in machine learning, deep learning, and training data for commercial systems.
Proficiency in object-oriented languages (Java, C++, Objective-C, Swift), scripting languages (Python, Ruby, bash), and ML frameworks (TensorFlow, PyTorch, CoreML).
Experience in data science, analytics, A/B testing, or language technologies like machine translation is an asset.
Deep Learning
Python
PyTorch
JAX
TensorFlow
Model Compression
Algorithm Optimization
Parallel Computing
Natural Language Understanding
Multi-modal Modeling
Large Scale Machine Learning
Foundation Models
Software Design
Deep Learning
Python
PyTorch
JAX
TensorFlow
Natural Language Processing
Speech Recognition
multi-modal learning
Conversational AI
Audio Modeling
Foundation Models
Machine Learning Training