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Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. Our goal is to be Earth's most customer centric company, and we are just getting started. We seek professionals who are eager to join an ambitious project that continues to push the state of the art in satellite system design, verification test, and operations. We are looking for an Avionics Test Engineer who combines superb technical capabilities with a demonstrated ability to get the right things done quickly and effectively. You will work with a team of top-notch engineers and will collaborate with multiple spacecraft design, test, and operations teams. 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This role sits at the intersection of AI engineering, distributed systems, and applied intelligence. You will lead the strategy and execution for how enterprise knowledge is structured, represented, governed, retrieved, and operationalized across agents, copilots, automation systems, and customer-facing AI products. Importantly, you will sit at the cutting edge of building the cognitive substrate for an AI-native enterprise. Come join us as a hands-on thought leader who innovates by doing. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Build foundational content intelligence systems: Design systems for ingestion, indexing, embeddings, metadata, retrieval, lineage, governance, and auditability that can support both internal and customer-facing AI use cases. This includes customers, media and marketing assets, product features, production code, websites, game sounds, customer service experiences, operational workflows, and other enterprise content. Establish enterprise knowledge graphs and ontologies: Define and implement a regulatory-compliant knowledge graph strategy that creates deep context about FanDuel's products, employees, operations, customers, and systems. 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Prague - Czechia Prague, Czech Republic Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Application Deadline: March 31 2026 Location: PRG5 office Hybrid 20 hours per week Who You'll Work With We are a bunch of former security startups collectively called Threat Detection and Response. We keep an agile, fun , and passionate upstart culture within Cisco. You will work in an international environment in downtown Prague, Czech Republic, closely cooperating with teams in the US. We balance collaboration and integration with autonomy and innovation to deliver the most effective solution to our customers' problems. The unique mix of our disruptive approach to security and Cisco's industry dominance surpasses what any other security startup could ever achieve on its own. Your Impact We are seeking a motivated Machine Learning Researcher or Machine Learning Engineer Intern to join our team. 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