This role pays more than
75%
of similar roles. Most pay
$199,462–$254,962
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$227k
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.
Senior/Staff Machine Learning Engineer, Search & Knowledge Platforms joins the Answers, Knowledge, and Information team to develop next-generation search and question answering systems across various products. This role involves designing, training, and deploying machine learning models to improve retrieval and ranking while defining evaluation metrics for search quality. The engineer will collaborate with multi-functional teams to identify new product areas for search technology application. Key technical requirements include proficiency in C/C++ or Python, experience with ML frameworks like Jax, TensorFlow, or PyTorch, and expertise in transformer-based models such as BERT or T5. Candidates must possess a deep understanding of large-scale search algorithms, NLP, and recommender systems to solve complex information retrieval problems. The role focuses on advancing ranking technologies and knowledge extraction within high-performance computing environments managing massive data volumes.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Machine Learning
NLP
Large Language Models
Python
C++
PyTorch
TensorFlow
Jax
BERT
T5
Information Retrieval
Recommender Systems
Data Engineering
Software Engineering
Machine Learning
Python
Go
LLMs
Prompt Engineering
Information Retrieval
Natural Language Processing
RAG
Data Pipelines
A/B Testing
Statistical Hypothesis Testing
Search Ranking
Model Quantization
Distributed Inference
Data Science
Machine Learning
Python
Go
Large Language Models (LLMs)
Natural Language Processing (NLP)
Information Retrieval
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Data Science
A/B Testing
Statistical Hypothesis Testing
Data Pipelines
Distributed Inference
Model Quantization
Search Ranking
LLM
Machine Learning
PyTorch
TensorFlow
JAX
Natural Language Processing
RAG
Information Retrieval
Distributed Systems
Inference Optimization
Deep Learning
Software Engineering