As a Solutions Architect, you will lead technical discovery and build reference architectures for AI application wrappers and specialized agents using NVIDIA's stack. You will create proofs of concept, optimize workloads, and support multi-stage deployments from local to cloud environments.
As a Solutions Architect, you will lead technical discovery and build reference architectures for enterprise-ready agentic AI products on the NVIDIA stack. You will collaborate with partners to develop proofs of concept, optimize workloads, and create reusable enablement assets, ensuring fast time-to-first-token and efficient GPU utilization.
This role involves developing and deploying advanced AI/ML models for a stealth start-up Quant hedge fund. Responsibilities include building proprietary trading systems, experimenting with new datasets, and contributing to novel trading ideas. The team is advised by a Fields Medallist and is preparing to launch next year.
This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.
Design and build scalable, secure cloud infrastructure platforms that support OpenAI's products, including ChatGPT and the API. Work with Kubernetes, networking, and cloud abstractions while ensuring system reliability and contributing to a safety-first culture. Participate in on-call rotations and help scale systems to meet growing demand.
This role involves improving the performance of Codex agents in real-world software engineering tasks, working closely with research, infrastructure, and product teams. Responsibilities include designing agent behaviors, evaluating performance, enhancing robustness, and building feedback loops to improve the agent's usefulness and reliability.
As a Staff Research Scientist, you will work on the cutting edge of generative AI, focusing on interactive avatars that can engage in natural, real-time conversations. Your responsibilities include setting the research direction, advancing the state of the art in perceptual layers, and building robust evaluation frameworks.
This role involves building and maintaining the core infrastructure and professional tools for ElevenLabs' managed services wing, focusing on AI audio tools and human expertise. You'll work on backend systems, data platforms, and UI-heavy professional tools, ensuring reliability and scalability.
This role involves leading end-to-end deployments of Cohere’s North AI platform in private cloud and on-premises environments for UK public sector clients. The engineer will work closely with enterprise IT teams to assess infrastructure, security, and data management needs, designing secure, compliant deployment strategies while troubleshooting technical issues. The position emphasizes hands-on work with Kubernetes, cloud infrastructure, and DevOps practices in high-stakes sectors like finance and healthcare.
The Analytics Engineer will join ElevenLabs' Data team to build and maintain the transformation layer between raw data and business decisions. Responsibilities include designing a world-class metric layer, partnering with Data Engineering and stakeholders, and ensuring data quality and documentation.
Design, build, and deploy production-grade LLM-powered agentic workflows for enterprise clients in high-regulation sectors. Translate ambiguous business problems into secure, reliable AI agents integrated with tools, APIs, and sensitive data sources. Contribute to North, Cohere’s AI workspace platform, across the full product lifecycle while shaping cross-customer frameworks and ensuring auditability, safety, and performance.
This role involves developing and optimizing the software stack for Wayve's autonomous driving vehicles, focusing on performance, latency, and system efficiency. You will work closely with multiple teams to identify and resolve bottlenecks, implement profiling tools, and enhance the overall system performance.
Develop next-generation generative world models and interactive simulation systems to enable closed-loop training and evaluation of autonomous driving agents. Focus on high-efficiency, real-time rollouts with strong physics fidelity and scalability, integrating models into production pipelines to bridge sim-to-real gaps. Work at the intersection of ML research and deployment in a fast-paced, interdisciplinary environment.
This role involves leading software development projects, participating in multidisciplinary teams, and providing SME expertise in AI and Computer Vision. Responsibilities include project planning, software design, development, testing, and deployment, as well as contributing to continuous improvement and technical documentation.
This role involves developing advanced AI models for interactive avatars, focusing on diffusion-based video generation conditioned on audio, motion, and user interaction. The engineer will work on real-time, long-form video synthesis, improving lip-sync and motion realism, and building evaluation systems to ensure high visual quality. The position bridges cutting-edge research and product deployment within a fast-moving AI video platform.
