This role pays less than
51%
of similar roles. Most pay
$192,050–$254,750
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$223k
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 Machine Learning Engineer on the Siri and Information Intelligence team, you will join an applied machine learning group focused on delivering generative AI experiences. You will be responsible for developing world-class evaluation techniques to measure and calibrate model responses while collaborating with infrastructure, quality, data, product, and design teams to create an exceptional search experience. Your daily work involves translating product requirements into specific modeling and engineering tasks and mentoring aspiring scientists and engineers. The role requires proficiency in at least two programming languages, such as C/C++, Go, Python, or Java, along with experience using PyTorch, TensorFlow, or JAX for training and deploying deep learning models. You will apply these skills to solve problems involving search relevance ranking, query understanding, and questioning within a consumer-facing product environment.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Develop and implement generative AI techniques to enhance Siri and other Apple products.
Create world-class evaluation techniques to measure and calibrate model responses accurately.
Translate product requirements into specific modeling tasks and engineering requirements.
Build machine-learned models for search relevance ranking, query understanding, and questioning.
Deploy deep learning models using frameworks such as PyTorch, TensorFlow, or JAX.
Develop innovative features to improve the end-user search experience.
Mentor aspiring applied scientists and engineers to expand their skills and impact.
What we're looking for
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or a related field (or equivalent experience).
3+ years of industry-related experience working in collaborative environments.
Experience using PyTorch, TensorFlow, or JAX for training and deploying deep learning models.
Ability to translate product requirements into modeling and engineering tasks.
Proficiency in at least two programming languages such as C/C++, Go, Python, or Java.
Master's or PhD in Computer Science or a related field (preferred).
Knowledge and prior experience with deep learning and GenAI frameworks (preferred).
Experience building models for search relevance ranking, query understanding, and questioning; and experience in consumer-facing products (preferred).
LLM
PyTorch
TensorFlow
JAX
Transformers
MoE
Computer Vision
Natural Language Processing
Distributed Data Processing
Machine Learning
Deep Learning
OCR
Synthetic Data Generation
Data Curation
High Performance Computing
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering