10 applied ml engineer jobs at 9 companies in Nooksack, WA
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Principal AI/ML Applied Scientist
Vancouver, British Columbia, Canada
$209k-$274k/yrHybridFull Time
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.
Tel Aviv or Foster City or Plano or Toronto or Vancouver or London or Amsterdam or Tbilisi or Medellin
HybridFull Time
Tipalti: AI-powered platform for finance automation and global payments.
3+ YOEBachelor's in CS/Engineering (AI focus), 3+ years AI/ML engineering experience, production deployment of agentic AI systems, proficiency with Python and SQL, LLMs, RAG and vector DBs, cloud deployment (AWS preferred).
Huawei: Designs and manufactures telecommunications infrastructure and consumer electronics.
MSc in CS or related with applied ML focus; experience with KHRONOS/W3C standards and graphics APIs (Vulkan, OpenGL, WebGL, WebGPU, SPIR-V, glTF); expertise in computer graphics, GPU computing, parallel/distributed computing and ML; strong publication record.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOERequires 7+ years building applied ML products, 3+ years with PyTorch or TensorFlow, 4+ years production ML services and cloud platforms, 2+ years LLM experience, leadership experience, and a bachelor's degree.
Dialpad: AI-powered cloud communication and contact center software platform.
3+ YOE3+ years QA/test or applied ML quality experience; Bachelor's or Master's in CS/Software Engineering/Computational Linguistics or related; experience with evaluation datasets, LLM/NLP/speech systems, and strong analytical skills.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
5+ YOERequires 5+ years building applied machine learning products, 2+ years with PyTorch or TensorFlow, 3+ years deploying ML services and cloud platforms, 1+ year with LLMs, and a bachelor's degree.
PyTorch, TensorFlow, AWS, GCP, LLMs, RAG, natural language processing
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.
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Bachelor's in a quantitative discipline, experience applying ML and statistics to business problems, proficiency with Python and SQL, familiarity with Pandas, Databricks/Spark, feature engineering, model validation and monitoring, and Agile collaboration.