10 applied ml engineer jobs at 8 companies in Everson, WA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
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.
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).
Applied Scientist II, Workforce Intelligence powered by Scientific Engineering, Workforce Planning
Vancouver, British Columbia, Canada
$149k-$249k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years building models for business applications; PhD or Master's (CS/CE/ML or related) + experience; published patents/papers; programming in Java, C++, or Python; experience in algorithms, optimization, data mining, HPC.
Développeur.euse sénior.e en recherche - intelligence artificielle/apprentissage automatique - Innovation créative/Senior Research Developer (AI/ML) - Creative Innovation
Vancouver or Montreal
$141k-$204k/yrHybridFull Time
Electronic ArtsNASDAQ: EA: Develops and publishes video games and interactive entertainment software.
8+ YOEDegree in CS or STEM (or equivalent experience), 8+ years ML engineering experience applying research to production (LLMs, STT, TTS, transformers), model training/fine-tuning, prototyping, and knowledge of deployment constraints on consoles/PC/mobile.
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.
Senior Video Compression Development Engineer, AWS Elemental, Elemental Video Engine
Santa Clara or San Jose or Portland or Vancouver
$168k-$262k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years professional software development and system design experience; experience leading/mentoring; video/image processing and compression expertise; applying ML/Generative AI; familiarity with SIMD (SSE/AVX2/NEON).
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.
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.
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.