Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.
This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale AI projects, particularly around LLMs and open models, while contributing to joint research and technical content. Responsibilities include hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.
Isomorphic Labs is building advanced AI systems to accelerate drug discovery and transform the future of medicine. This is a general interest application for roles in software engineering, machine learning, computational chemistry, and technical project management within an interdisciplinary, research-driven environment. The role involves working at the intersection of AI and biology to develop predictive and generative models for rational drug design.
Design and build high-performance, reliable backend services for a large-scale data and AI platform. Work on distributed systems, cloud storage integration, and reliability improvements as part of a foundational engineering team. Focus on solving complex technical challenges across product and infrastructure layers in a fast-growing environment.
A Senior Software Test Engineer will lead quality assurance efforts within a cross-functional team, designing and developing automated test frameworks for web, backend, and mobile products built on microservices and machine learning. The role involves mentoring team members, improving CI/CD pipelines, and championing test culture using tools like Playwright, Cypress, and k6. The engineer works closely with product and engineering to define acceptance criteria and drive quality improvements across the development lifecycle.
The role involves designing, building, and maintaining open-source SDKs and developer tools to enhance the adoption and usability of ElevenLabs' AI audio and agent platforms. The engineer will act as 'customer zero' for new developer products, contribute to API design, and create technical content to support developer engagement. This is a hands-on role focused on improving the end-to-end developer experience across multiple programming languages and platforms.
This role involves developing technical frameworks for agentic incident response, controls, and forensics in advanced AI systems. You'll work on scalable approaches to monitor, detect, and respond to risks from next-generation AI agents, leveraging pre-release access to frontier models and compute resources. The position offers high autonomy, collaboration with global AI experts, and direct influence on AI governance and security policy.
Lead high-impact AI safety projects by designing novel evaluation frameworks and robust software architectures for frontier AI labs. Mentor technical team members, ensure scientific rigor, and contribute to thought leadership through research and open-source contributions. Work at the intersection of national security and cutting-edge AI to advance responsible deployment.
Design and develop client-facing web applications that visualize insights from data science and machine learning models, collaborating with cross-functional teams in government and public sector projects. Build and maintain reusable frontend components and drive best practices across the organization. Work within secure environments requiring UK Security Clearance, with a focus on scalable, well-tested React and TypeScript applications.
This role involves building and managing datasets and evaluation systems for AI safety, translating safety policies into actionable data criteria, and creating scalable processes for data collection, labelling, and model assessment. The Data Scientist will work across policy, research, and engineering to ensure models are evaluated using real-world data and robust quality standards. A strong focus is placed on developing reproducible pipelines and operationalising safety frameworks in a fast-moving AI environment.
This role involves prototyping and developing innovative cybersecurity solutions using AI, with a focus on enhancing Darktrace’s platform to detect and respond to unknown threats. You’ll work in a cross-functional R&D team, balancing creative exploration with structured development of scalable features. The position emphasizes ownership of novel projects, collaboration, and advancing core capabilities in Python and containerized environments.
Lead the Product Engineering group within AI Engineering, defining technical vision and strategy to deliver production-level autonomous vehicle capabilities using advanced AI models. Drive data-centric approaches and eval-driven development to meet KPIs across multiple OEM partnerships. Build and mentor engineering teams focused on Driving, ADAS, Parking, and HMI systems while establishing robust ML practices and scalable data pipelines.
This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.
