This role pays more than
83%
of similar roles. Most pay
$197,631–$254,750
— the shaded band above.
At the midpoint, this role pays about
$257k
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.
Machine Learning Engineer, SIML joins the Intelligent System Experiences team to develop core modeling technology for products like Genmoji, Image Playground, and Image Wand. This role involves building and refining modern generative models based on diffusion and auto-regressive technologies while staying at the forefront of AI research. The engineer will work with web-scale datasets, distributed training of foundation models, application-specific adapters, and on-device optimizations to create compelling user experiences. Key responsibilities include training and fine-tuning large-scale image, video, audio, and multimodal models in both academic or industrial research environments. Required technical skills include proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX. The role focuses on the specific challenge of translating cutting-edge generative AI research into functional features within a unique ecosystem through advanced modeling and experimental development.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 66 postings across 14 companies.
Python
PyTorch
Vision-Language Models (VLM
Multimodal Large Language Models (MLLM
Natural Language Processing (NLP)
Computer Vision
Deep Learning
Neural Networks
Machine Learning Research
PyTorch
TensorFlow
JAX
Python
C++
Go
Java
Generative AI
Deep Learning
LLM
Information Retrieval
Distributed Systems
Search Relevance Ranking
Query Understanding
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
Deep Learning
Computer Vision
Generative AI
Diffusion Models
VAE
GAN
PyTorch
Jax
TensorFlow
Python
Go
Java
C++
Statistical Modeling
Multimodal Foundation Models