This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
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 focuses on designing and managing large-scale compute cluster infrastructure, with a strong emphasis on automation, security, and scalability. The engineer will lead technical strategy for provisioning and lifecycle management of clusters across cloud and on-prem environments, ensuring high-bandwidth interconnectivity and fault tolerance. Responsibilities include cross-team collaboration on compute strategy, operational excellence, and mentoring other engineers.
This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.
This role involves applying financial expertise to evaluate and enhance generative AI systems through collaborative projects with AI labs and research teams. Fellows will develop financial scenarios, assess model outputs for market relevance, and contribute to research publications in AI-driven finance. The position emphasizes interdisciplinary collaboration, technical feedback, and advancing the accuracy of AI in financial reasoning and decision-making.
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 managing and optimizing 7 global websites for a leading international charity, focusing on SEO, content strategy, and AI search optimization. Responsibilities include improving user journeys, conducting technical audits, and creating high-performing digital content.
This role involves designing, developing, testing, and maintaining robust software applications using Python and AI technologies. You will work with generative AI tools, provide technical guidance, and ensure compliance with security policies. The position offers the opportunity to influence digital innovation and shape the University's technology landscape.
This role involves using AI and automation to develop applications, automate processes, and improve business operations. You'll work directly with users, take ownership of projects from idea to implementation, and have the freedom to explore different tools and technologies.
Lead the design of next-generation system architectures for DPUs and NICs, focusing on cloud networking, orchestration, and security. Develop end-to-end solutions spanning hardware to application layers, with deep involvement in prototyping and architecture specification. Collaborate globally with engineering and product teams to shape the future of data center technologies.
This role involves working alongside senior engineers to build performance models and calculators for AI infrastructure, predicting the efficiency and cost-effectiveness of different setups. You'll have real ownership and support, working with real metrics from live training and inference jobs.
This role involves working between research and engineering teams to build performance models and calculators for AI infrastructure. You'll analyze real-world data from training and inference runs to optimize GPU efficiency and inform hardware decisions for the organization and its members.
This role involves taking end-to-end ownership of AI solution design, from initial use case intake to production deployment. The AI Solutions Architect will work closely with business stakeholders, technology teams, and control functions to ensure solutions are secure, scalable, and aligned with SMBC's enterprise technology stack. The role requires strong technical expertise in AI, cloud platforms, and governance processes.
This role involves leading cloud and AI security assessments, defining secure architecture patterns, improving security posture, and automating control validation. The Senior Information Security Engineer will work across Azure, GCP, SaaS, and AI platforms to ensure secure design, implementation, and monitoring of cloud and enterprise services.
This role involves leading research on advanced AI risks and governance, collaborating with government and industry stakeholders, and shaping public-interest research. The position offers unique access to pre-release AI models, operational support, and opportunities for publication and external collaboration.
