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 involves conducting empirical research on AI safety, focusing on areas like AI control, alignment auditing, multi-agent safety, and recursive self-improvement. You will work closely with a mentor to design and execute experiments, implement evaluation methods, and produce reproducible research outputs.
This role involves leading the design and implementation of full-stack AI applications for public sector clients, translating complex mission requirements into secure, scalable technical solutions. The engineer will work directly with government teams to build production-grade systems, integrate AI models with interactive UIs and backends, and establish reusable patterns from real-world deployments. It emphasizes architectural leadership, cloud infrastructure governance, and mentoring within high-impact, security-sensitive environments.
Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.
This role involves owning a research work-stream focused on 3D geometry representation and generation, designing and training generative models, and working with ML and simulation engineers to solve complex engineering challenges. You will also champion research directions and mentor junior colleagues.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive impactful projects. The team focuses on transforming raw data into predictive features and ensuring models are reliable and maintainable.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources such as text and time series. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features and translate R&D into production solutions. Collaborate with stakeholders and mentor junior data scientists in a hybrid-working environment.
This role involves owning the analysis of how users discover, adopt, and engage with ElevenLabs' products, including ElevenCreative, ElevenAgents, and ElevenAPI. You will design and analyze product experiments, define key metrics, and partner with Product, Growth, and Data teams to drive insights and improvements.
The Data Scientist will develop tools and workflows to automate data extraction, processing, and analysis, build and maintain data pipelines, and generate meaningful insights and visualisations from complex datasets. They will also apply statistical and machine learning techniques to support product development and present insights to stakeholders.
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 leading the development of AI features in a legal tech SaaS platform, focusing on designing and building ML models for document parsing, search, classification, and summarisation. You will integrate LLMs into product workflows, optimise model serving on AWS, and work closely with engineering, product, and QA teams in Scrum squads.
This role involves designing and building scalable development and production platforms that power OpenAI's core products like ChatGPT and the API. The engineer will work on Kubernetes clusters, cloud abstractions, networking, and infrastructure deployment systems, ensuring reliability, security, and scalability. The position includes on-call responsibilities and emphasizes a culture of inclusion, safety, and technical excellence in a fast-paced environment.
This role involves leading research in quantum algorithms with a focus on AI-driven discovery, hybrid quantum-classical applications, and advanced simulations. You'll collaborate with supercomputing centers, QPU developers, and research partners to develop innovative solutions and publish high-impact work. The position plays a key role in shaping NVIDIA's quantum product strategy and driving customer adoption through technical leadership.
You will own features end-to-end, working with Rust services, backend systems, and frontend interfaces. Your responsibilities include using AI development tools, improving the AI agent's tools and performance, and collaborating closely with design to build polished user experiences.
