Research Scientist, FSF Risk Modeling and Governance, DeepMind Google LLCResearch Scientist, FSF Risk Modeling and Governance, DeepMindSan Francisco, CAPractically, you will drive research and development of the FSF, lead qualitative and quantitative modeling of possible AI severe risks, and represent the FSF risk assessment program in internal and external governance (e.g. in model launch processes and the writing and publication of model safety reports). Risk modeling helps Google understand the extent of the severe threats our models may pose, what mitigations are appropriate for addressing them, and whether, after the mitigations are applied, risk has been brought to a low enough level for different kinds of deployment.
Staff Machine Learning Engineer, Generative AI Modeling and Inference Snap IncStaff Machine Learning Engineer, Generative AI Modeling and InferencePalo Alto, CA$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.
Performance Modeling Engineer ~2 OpenAIPerformance Modeling Engineer ~2San Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.
Staff Software Engineer, Machine Modeling and Infrastructure Lead Google LLCStaff Software Engineer, Machine Modeling and Infrastructure LeadSunnyvale, CAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Senior AI Application Developer - GPU and SOC Architecture Modeling NVIDIA CorpSenior AI Application Developer - GPU and SOC Architecture ModelingSanta Clara, CAToday, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows.
Research + Modeling Mind RoboticsResearch + ModelingPalo Alto, CaliforniaWe believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. We’re looking for a Research & Modeling Engineer to build and train the core models that power our systems, and ensure they perform reliably on real robots in production environments.