24 applied machine learning engineer jobs at 6 companies in Sequim, WA
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Machine Learning Engineer - Applied Science
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced applied researcher/engineer with hands-on experience in search and recommendation, LLMs, and deploying machine learning models at scale; strong technical and product orientation.
Santa Clara or New York City or Seattle or United States
$184k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years applying ML to operational systems, experience building/deploying production ML models, time series and optimization experience, strong software engineering and Python skills, MS/PhD or equivalent experience.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
Santa Clara or New York City or Seattle or United States
$184k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOEMaster's/PhD or equivalent,8+ years applying ML to operational systems,production ML experience,time series and optimization expertise,distributed systems/cloud (AWS,Kubernetes),Python and ML framework proficiency.
TikTok: Global short-form video hosting and social media platform.
Bachelor's in CS or related, strong programming (C++/Python), applied ML experience in recommendation/CTR models, familiarity with collaborative filtering and deep learning, experience with TensorFlow or PyTorch.
Staff Machine Learning Engineer (Modeling), Support
Seattle or California
$189k-$284k/yrRemoteFull Time
BlockNYSE: XYZ: Creates financial tools for businesses and individuals.
10+ YOE10+ years in applied ML/AI with leadership experience; proven production experience with language models, dialog systems, RAG/fine-tuning, and end-to-end ML delivery; strong NLP/deep learning skills and cross-functional communication.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
PhD in computer science, machine learning, engineering, or related field; experience with Python, Java, C++; knowledge of deep learning, machine learning, and statistics.