9 deep learning engineer jobs at 8 companies in Everson, 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.
Leonberg or London or Sunnyvale or Yokohama or Herzliya or Vancouver
HybridFull Time
Wayve: Develops AI software for autonomous vehicle navigation.
Experience building and shipping computer-vision focused deep learning systems; familiarity with 3D perception (LiDAR, multi-view geometry, tracking, 3D reconstruction); experience across ML data, training, evaluation, and scalable data pipelines.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
2+ YOEMaster's or PhD in a quantitative field preferred, 2+ years applied ML experience, Python 3.x proficiency, experience with deep learning frameworks (PyTorch, JAX, TensorFlow), strong communication and software engineering practices.
Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Vancouver or Boulder
$172k-$257k/yrHybridFull Time
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
3+ YOEMLE III: 3+ years; Senior MLE: 6+ years. Expertise in deep learning, NLP, information retrieval, recommender systems, Python, PyTorch/TensorFlow, MLOps (Docker/K8s), PySpark/SQL, LangChain/RAG, and production ML lifecycle. Advanced degree preferred.
Dialpad: AI-powered cloud communication and contact center software platform.
3+ YOE3+ years in TTS or voice design, strong Python and deep-learning (PyTorch) experience, degree in computational linguistics/CS/AI/ML, experience with TTS vendors/APIs and cloud (GCP), prompt engineering and API development.
Engineering Manager, Machine Learning Platform and Infrastructure - North Vancouver, British Columbia, Canada
North Vancouver, British Columbia, Canada
$150k-$200k/yrOnsiteFull Time
Koch Inc.: Operates global manufacturing, refining, and industrial technology businesses.
5+ YOE2+ Mgmt5+ years in software/infrastructure/data engineering; 2+ years leading technical teams; deep AWS/Kubernetes knowledge; Python; familiarity with the ML lifecycle.
Python, AWS, Kubernetes, MLOps, Data Science tools
Huawei: Designs and manufactures telecommunications infrastructure and consumer electronics.
Enrolled Master’s or PhD student in CS/AI; strong background in ML, RL, deep learning and LLMs; proficiency in Python and PyTorch; experience with LLM frameworks (Hugging Face, DeepSpeed, vLLM) and RL tools (VeRL, GRPO) is an asset; strong problem-solving and communication skills.
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
Intern Researcher - AI/ML Technology Insight and Planning
Vancouver, British Columbia, Canada
$58k-$104k/yrOnsiteInternship
Huawei: Designs and manufactures telecommunications infrastructure and consumer electronics.
Master's/PhD in Computer Science or Engineering, AI/Deep Learning research experience, familiarity with heterogeneous computing and high-performance AI architectures, strong communication and presentation skills, publication record preferred.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
11+ YOEBachelor's in CS/data science/engineering or equivalent; PhD preferred. 11+ years AI/ML research experience; deep expertise in generative AI, NLP, CV, multimodal learning, time-series; expert-level experience with Python and PyTorch and cloud ML platforms; ability to translate research into production and influence executives.