- Meta (Redmond, WA)
- …will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, ... and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role… more
- Google (Kirkland, WA)
- …technical field. + Experience in MLIR or LLVM. + Experience in optimizing ML models for inference. + Experience compiling for heterogeneous architectures across IPs, ... internationally. EdgeTPU is a family of embedded machine learning ( ML ) accelerators that are geared toward a broad set...team is responsible for analysis, optimization, and compilation of ML models for the EdgeTPU. Google's mission is to… more
- Amazon (Seattle, WA)
- …Development Engineer to lead the implementation of innovative Machine Learning ( ML ), Reinforcement Learning (RL), and Generative AI techniques for game development ... this role, you will bridge the gap between our AI/ ML science advancements and practical game development, creating reusable...of robust, scalable, and reusable engine components that implement ML , RL, and Gen AI techniques that will be… more
- Cisco (Seattle, WA)
- …of this exciting, transformative journey. **Who You Are** As an engineer in the AI/ ML infrastructure of AISP, you will excel in a fast-paced environment and drive ... deploy new products. You will collaborate closely with the AI/ ML Product and Engineering teams, building AI/ ML ...the AI/ ML Product and Engineering teams, building AI/ ML infrastructure and tools for AI solutions. You will… more
- Amazon (Seattle, WA)
- …supply chain software systems in the realm of Machine Learning ( ML /AI/LLM) and economic modeling to address specific device-related challenges within inventory ... forecasting demand for all Amazon Devices using Machine Learning ( ML ) and big data. We are a growing team...to prove new business ideas, while strengthening our core ML platforms, and continuously improving our delivery of these… more
- Deloitte (Seattle, WA)
- …AI risk heat maps + Implement security controls throughout the AI/ ML lifecycle (data handling, training with GPU isolation, deployment, monitoring, versioning, ... provenance). Integrate SAST/DAST for ML artifacts + Manage audit trails and automated compliance...Sentinel, Azure Monitor, Azure Policy, Purview, Key Vault, Azure ML security). + Securing MLOps/LLMOps pipelines (data versioning, provenance,… more
- Microsoft Corporation (Redmond, WA)
- …learning multimodal techniques that integrate vision, language, actions, audio, and more. Your ML models will help advance the state of the art in both production ... in both offline and live environments. + Building and maintaining scalable ML pipelines for training, evaluation, and inference using tools like Python, PyTorch,… more
- Qualtrics (Seattle, WA)
- …to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive ... design + Experience with applied machine learning models and large-scale ML systems + Excellent problem-solving and analytical skills, with the ability… more
- NASCO (Olympia, WA)
- …hybrid data design and implementation, analytics strategy, platforms and patterns, AI/ ML governance, and US healthcare payer regulatory compliance (eg, HIPAA, ... SaaS products + Oversees the design and deployment of AI/ ML (Machine Learning) and agentic models for payer analytics,...HITrust, CMS, FHIR, HL7, EDI) + Hands-on experience with AI/ ML model deployment, data governance, and responsible AI practices… more
- Capgemini (Seattle, WA)
- …Kubernetes (AKS), and MLOps practices. - Hands-on experience in automating ML pipelines, including CI/CD integration and model lifecycle management. - Proficiency ... optimization techniques. - Experience in monitoring and troubleshooting production ML environments with zero downtime. - Strong problem-solving skills, compliance… more