This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.
This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.
This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, co-innovation, and solution development while gathering field insights to influence internal product roadmaps. The position emphasizes deep technical engagement, strategic partnerships, and cross-functional collaboration across engineering, product, and marketing teams.
This role involves conducting empirical economic research to understand AI's impact on labor markets, productivity, and economic transformation across a specific region. The economist will develop and expand the Anthropic Economic Index using novel measurement systems like Clio, applying advanced econometric and machine learning methods. They will collaborate with governments, academia, and policy institutions to translate research into actionable insights and influence both public policy and internal business decisions.
This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.
This role involves collaborating on high-impact AI research projects with leading legal and technical experts, focusing on evaluating and improving generative AI systems in legal domains such as compliance, litigation, and contract analysis. Fellows contribute to real-world scenarios, provide regulatory and legal feedback, and co-author research publications. The position offers flexible, remote engagement within an interdisciplinary network advancing human-centered AI.
This role involves applying clinical expertise to evaluate and shape advanced generative AI systems in healthcare contexts. Fellows will design clinical scenarios, assess AI decision-making for safety and accuracy, and contribute to research publications. The position emphasizes interdisciplinary collaboration, structured feedback, and advancing human-centered AI in real-world medical applications.
