This role pays more than
54%
of similar roles. Most pay
$202,441–$254,750
— the shaded band above.
At the midpoint, this role pays about
$242k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms joins the Information Intelligence team to build and optimize large-scale extraction and enrichment pipelines. This role involves transforming raw web content into structured knowledge for Siri, Spotlight, and Safari by designing scalable algorithms and advanced deduplication techniques. The engineer will develop ML classifiers for data quality, manage model serving and batch workloads, and create high-fidelity training corpora for foundation models to improve reasoning and grounding. Key technical requirements include proficiency in Golang, Java, Scala, or Python, along with experience in Spark, distributed systems, and cloud-native environments like AWS. The role focuses on the core problem of web-scale data processing, utilizing large language models, NLP, and entity linking frameworks to integrate diverse sources into a unified Knowledge Graph while optimizing for cost, throughput, and reliability.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 66 postings across 14 companies.
Large Language Models
NLP
Machine Learning
Python
Golang
Java
Scala
Spark
AWS
Distributed Systems
TensorRT-LLM
vLLM
Nvidia Triton Server
Model Serving
Algorithms
Data Structures
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
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