Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and collaborate across security, engineering, and product teams to deliver production ML systems at scale. Work on high-impact problems involving reverse engineering, decompilation, and adversarial dynamics within a platform processing trillions of daily events.
Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.
As a Solutions Architect, you will lead technical discovery with AI application wrapper partners, build reference architectures, and create proofs of concept using NVIDIA's stack. You will optimize agentic workloads, support multi-stage deployments, and develop reusable assets for agentic applications.
This role involves owning and evolving a high-performance computing (HPC) infrastructure to support CPU/GPU-intensive physics simulations, with a focus on performance tuning, job scheduling, and capacity planning. The IT Lead Engineer will also mentor junior staff, automate IT processes, and act as the escalation point for complex technical issues across HPC, developer tooling, and general IT. The position operates in a high-ownership environment within a deep-tech scale-up, requiring strong Linux, networking, and zero-trust security expertise alongside an automation-first mindset.
This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.
As a Sales Development Representative, you will engage with new prospective customers, identify business opportunities, and articulate Darktrace's value proposition. You will develop relationships with key decision-makers, meet sales targets, and collaborate closely with marketing and sales teams to drive business growth.
This role involves working closely with enterprise customers to understand their requirements and decide on bespoke integrations or product improvements. You will be part of a dedicated team that bridges the gap between the customer and the product, focusing on building and localizing AI-powered creative solutions using ElevenLabs' audio and video stack.
This role involves owning the 'produce once, distribute everywhere' workflow for ElevenLabs' Studio platform, shaping specs through RFCs, and building complex data structures for multi-language and multi-format video production. The position is greenfield, requiring strong backend skills and product instincts.
Design and build full-stack internal tools and platforms that empower non-technical users by identifying patterns in workflows and abstracting them into reusable systems. Work closely with stakeholders to define priorities, iterate on feedback, and ship features that drive autonomy across the organization. Use Python, TypeScript, and React in a high-impact, collaborative environment focused on AI safety and reliability.
This role involves deploying AI to automate scientific experiments in labs, working closely with researchers to integrate Claude into their workflows. Responsibilities include writing production code, developing evals, and creating reusable assets to scale impact.
This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. The focus is on training and deploying advanced speech recognition models, with an emphasis on innovation and best engineering practices.
This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. The focus is on training and deploying advanced models, including large self-supervised ones, to achieve high accuracy in speech recognition.
As a Senior Security Researcher, you will focus on AI systems, contributing to rapid prototyping and open-ended research. You will investigate trends in generative AI security, research attacker tradecraft, and provide feedback to product and development teams.
Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.
