301 applied scientist jobs at 36 companies in Everett, WA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
1+ YOEApply machine learning, deep learning, and multimodal AI to large-scale image indexing, selection, ranking, and real-time systems; experience with Big Data tooling and strong research or industry ML results.
Spark, HBase, Hadoop, Cosmos, Autopilot, Azure, Large Language Models (LLMs), Small Language Models (SLMs)
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Master's or PhD in CS/AI/ML, strong publication record, expertise in image/video understanding and generative models, proficiency in Python and PyTorch, experience with distributed training and large-scale datasets, excellent communication.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEPhD in a technical field, 5+ years relevant experience, track record of publications, experience with multiple programming languages, and experience leading scientists and developing junior talent.
Los Angeles or Portland or San Diego or Seattle or United States
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience in performance/leadgen; hands-on ML in AWS; expertise in Python and SQL; experience with bandits, recommendation/ranking, monetization/LTV modeling; strong modeling fundamentals and stakeholder communication.
Qualtrics: Software for managing customer, employee, and product experiences.
7+ YOEPhD or Bachelor's in CS or related field, 7+ years industrial ML/NLP/deep learning research experience, deep learning framework and production ML systems expertise, strong programming and communication skills.
UiPathNYSE: PATH: Provides robotic process automation software for enterprise workflow automation.
10+ YOEMS/PhD preferred in CS/ML/AI, 10+ years industry ML experience building production ML systems, strong Python, expertise with LLMs/foundation models, distributed training, model deployment, and excellent communication.
The Trade DeskNASDAQ: TTD: Cloud-based programmatic advertising platform for data-driven media buying.
6+ YOEPhD with 6+ years or BS/MS with 8+ years in data science/ML; deep learning experience (PyTorch/TensorFlow); distributed computing (EMR/Databricks/Spark); Python proficiency; forecasting and strong communication skills.
Auger: AI-powered autonomous operating system for global supply chain management.
PhD in relevant field, deep expertise in optimization, machine learning, and large-scale data systems; leadership experience scaling teams; supply chain domain experience; strong communication skills.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Expertise training LLMs/LMMs and image/video generation models, familiarity with transformer architectures, Python development, ML frameworks, distributed training, and strong communication; PhD or Master’s preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEPhD/MS in quantitative field with 3+ or 5+ years in applied AI; strong Python data science skills; ML/AI modeling, production deployment, and AI framework experience.
Python, Pandas, Scikit-learn, NumPy, Hadoop, Spark, LLM fine-tuning, Retrieval-Augmented Generation, APIs and AI frameworks
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
11+ YOEBachelor's in CS/data/engineering or equivalent; 11+ years AI/ML research experience; deep expertise in generative AI, NLP, computer vision, multimodal learning; experience with Python and PyTorch; ability to lead enterprise AI strategy and translate research to production.
DAT Freight & Analytics: Software platform for freight matching and logistics data analytics.
5+ YOEPhD or MS in a quantitative field, 5+ years building and deploying ML/decisioning solutions in production, strong Python proficiency, experience in fraud/risk/graph analytics, ownership of end-to-end models and systems.
Seattle or New York City or New York or San Francisco or San Francisco or United States
$197k-$314k/yrRemoteFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Master's or PhD in CS/Mathematics/quantitative field with AI/ML focus; experience developing/deploying ML models and transformers; production-grade Python and autodiff frameworks (PyTorch, JAX, TensorFlow); distributed GPU training (DeepSpeed, TorchTitan).
NAVER Search US - Applied Scientist (Generative AI & LLMs)
Bellevue, Washington, United States
$130k-$180k/yrHybridFull Time
Naver U.HubKRX: 035420: Develops internet services, social media apps, and AI technologies.
3+ YOE3-5 years of applied ML/NLP/deep learning; Master’s or PhD in CS/ML or related field; strong Python and PyTorch; experience with Generative AI and transformers; collaborative across teams.
Bellevue or Minneapolis or Washington or United States
RemoteFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
5+ YOEMaster's degree in CS or quantitative field required (PhD preferred), 5+ years ML/NLP experience, 3+ years with generative AI and DL frameworks (PyTorch/TensorFlow); strong research, communication, and critical thinking skills.
TikTok: Global short-form video hosting and social media platform.
Advanced degree in CS/Statistics/Math, extensive ML/DL/AI experience, strong programming (Python,C++,Java,Go), knowledge of search/IR/ranking, and strong analytical and communication skills.
Wyze: Designs and sells affordable smart home security and automation products.
PhD or Master’s with strong research track record; hands-on experience training and evaluating multimodal vision-language models; proficiency in Python and deep learning frameworks; strong research and problem-definition skills.