This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.
Acts as the post-sale technical lead for strategic customers, driving adoption and successful implementation of Databricks workloads. Focuses on technical accountability, cross-team orchestration, and execution planning across use cases, from onboarding to production. Engages with stakeholders at all levels to ensure healthy consumption and return on investment of the Databricks platform.
Lead the end-to-end data strategy for AI-driven autonomous vehicles, focusing on intelligent data discovery, curation, and enrichment from diverse real-world sources. Build and scale a global data organisation to accelerate model performance across multiple geographies and vehicle platforms. Drive the learning loop from real-world signals to model improvement, prioritising rare and safety-critical scenarios.
This role involves acting as a technical advisor to customers, demonstrating the Databricks Data Intelligence Platform through hands-on evaluations and custom proof-of-concepts. The engineer will collaborate with sales teams to translate customer data challenges into technical solutions, develop reference architectures, and support clients across industries like media, finance, and retail. The position requires deep expertise in big data, AI, and cloud ecosystems, with regular engagement in technical workshops and on-site customer visits.
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. The position requires a PhD in a relevant field and expertise in generative models, geometric deep learning, and 3D vision.
This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic projects for Defence and Security customers. You will act as a technical lead, provide oversight, and work directly with clients to define requirements and deliver innovative solutions. The position offers opportunities for technical leadership and business development.
Design and deploy AI systems for enterprise clients, translating business needs into technical architectures and production implementations. Work hands-on with code, evaluation frameworks, and integrations while guiding customers from prototype to scalable, reliable deployment. Collaborate across OpenAI teams to turn real-world deployment insights into product improvements and reusable solutions.
This role involves working directly with quantitative investment and trading firms to apply OpenAI’s models and Codex to their research and development workflows. Responsibilities include identifying valuable opportunities, building and deploying AI systems, and guiding technical decisions to ensure production readiness and sustained adoption.
This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, rapidly prototyping and deploying models into functional hardware systems. The role emphasizes innovation, rapid iteration, and close collaboration in a technically driven, low-management environment.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
This role involves owning and implementing the technical platform for AI agents, focusing on the AWS-based agentic automation stack. Responsibilities include designing and maintaining the architecture, building reusable agent templates, and ensuring secure and efficient access to enterprise systems through approved tools.
Lead and architect large-scale distributed systems that support AI model training, serving, and security. Work closely with research and product teams to build reliable, scalable infrastructure on Kubernetes and cloud platforms. Drive technical strategy, mentor engineers, and improve operational resilience across high-impact systems.
This role involves leading a team of four to drive technology innovation, assess and implement emerging technologies, and translate business strategy into actionable roadmaps. The focus is on improving efficiency, advancing capabilities, and ensuring resilience across the business, with a strong emphasis on governance and risk management.
This role involves working within a high-performing team to build and maintain proprietary trading and risk platforms. Responsibilities include designing and implementing end-to-end features, contributing to system architecture, and ensuring robust, scalable, and reliable applications. The role requires strong full-stack engineering skills, with a focus on modern JavaScript frameworks and backend languages.
