This role pays more than
60%
of similar roles. Most pay
$196,750–$254,750
— the shaded band above.
At the midpoint, this role pays about
$242k
versus about
$226k
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, Search & Knowledge Platforms, you will join the Answers, Knowledge & Information team to advance assistant response ranking and search technologies. You will build large language models at scale to power question and answering systems for Siri while developing core software infrastructure for natural language understanding. Your daily work involves designing low-latency runtime tech stacks for global search, building data pipelines for large-scale processing, and benchmarking natural language processing models for deployment. To succeed, you must utilize PyTorch, TensorFlow, and JAX to train and deploy deep learning models. You will focus on technical challenges such as search relevance ranking, query understanding, and summarization. The role specifically addresses the problem of improving how users interact with devices to get information through advanced LLM techniques and inference optimization.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 66 postings across 14 companies.
LLM
Machine Learning
PyTorch
TensorFlow
JAX
Natural Language Processing
RAG
Information Retrieval
Distributed Systems
Inference Optimization
Deep Learning
Software Engineering
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
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