Company Description Hi there—at Razorfish, we’re leaders in whats next. Since the dawn of the internet, we’ve helped brands move first through every era of transformation, defining what digital means for business and now leading brands
Location: San Carlos, CA or Seattle, WA (on-site) Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new
Job Summary and Responsibilities As our Manager, Clinical Services Periop, you will provide leadership and direction to a multidisciplinary team of perioperative nurses and technicians, ensuring adherence to clinical best practices and regulatory standards. You will
Location: San Carlos, CA or Seattle, WA (on-site) Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new
Job Summary and Responsibilities As our Manager, Clinical Services Periop, you will provide leadership and direction to a multidisciplinary team of perioperative nurses and technicians, ensuring adherence to clinical best practices and regulatory standards. You will
Description Amazon Interactive Video Service (Amazon IVS) is AWSs fully managed live streaming service, built on the same technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment.
Location: San Carlos, CA or Seattle, WA (on-site) Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new
About Us Integrate is a Seattle-based company building multiplayer project management software for the world’s most ambitious machines. We focus on the hardest coordination problems in deep tech like rocket launches and advanced manufacturing, where progress
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is