32 cloud ml engineer jobs at 23 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.
Calgary or Vancouver or Canada or Spain or Switzerland or United Kingdom or United States
HybridFull Time
Benevity: Provides enterprise software for corporate social responsibility programs.
7+ YOE7+ years software engineering experience with 4+ years architecting and deploying ML models in production; strong MLOps, cloud (AWS/Azure/GCP) and data engineering skills; Python and ML framework proficiency; technical leadership experience.
KPMG: Global professional services firm providing audit, tax, and advisory.
5+ YOEUniversity degree in CS/engineering or related; 5+ years in ML/AI with production ML; Python proficiency; ML frameworks; ML Ops; cloud deployment; GenAI; strong communication.
Python, scikit-learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow, Spark, AI Foundry, Vertex AI, SageMaker, Bedrock, CI/CD
TELUS Digital: Provides global digital customer experience and business transformation solutions.
5+ YOEBachelor's degree preferred, 5+ years in technology consulting or digital transformation with AI/ML focus; Google Cloud and Google CES expertise; Google professional certifications preferred; strong communication and CX knowledge.
Google Cloud, Gemini Enterprise Customer Experience (GECX), Google CES, Google Customer Engagement Services (formerly CCAI), Google Cloud AI services, SIPREC, gRPC, CCaaS
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.
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.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE10+ years software engineering or 7+ years ML/AI experience with multi-year track record shipping LLM-backed products; experience integrating LLMs, designing AI orchestration, cloud deployment, and responsible AI governance.
Armstrong Collective: Operator of luxury rail travel experiences in North America.
5+ YOE5+ years of hands-on ML engineering experience; strong Python, ML frameworks; cloud deployment; MLOps; strong communication; able to work in Canada.
Armstrong Collective: Operator of luxury scenic rail journeys and vacation packages.
5+ YOE5+ years in ML engineering with production ML systems, strong Python, ML frameworks, cloud deployment, MLOps, and ability to deliver business outcomes; eligible to work in Canada; hybrid work.
Armstrong Collective: Operator of luxury train journeys and curated travel experiences.
5+ YOE5+ years in ML engineering; Python and ML frameworks; cloud deployment; MLOps; strong statistics; experience with generative AI/assets; ability to work in Canada; hybrid work.
Clio: Cloud-based legal practice management software and AI solutions.
4+ YOE4+ years in software/data engineering or AI systems; strong Ruby, Python; experience with AI/ML, data platforms; cloud services; ability to translate business needs into technical solutions.
XeroASX: XRO: Cloud-based accounting software for small businesses and advisors.
Experienced in building scalable backend ML solutions in cloud environments; strong ownership, communication, and ability to translate ambiguous R&D into production; familiarity with Python, Kubernetes, GenAI, and ML concepts.
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Senior-level experience building scalable data pipelines and ML model lifecycle systems; strong Python and SQL skills; experience with Databricks/Apache Spark and cloud platforms (AWS or GCP); strong communication and problem-solving.
Connor, Clark & Lunn Financial Group: Independent asset management firm providing traditional and alternative investment strategies.
5+ YOEExperience building scalable data pipelines for structured and unstructured data; SQL and Python; Airflow/Prefect/Dagster; cloud platforms; data governance; AI/ML integration.