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Research and engineer the neural foundations of general-purpose robots, including Vision-Language-Action models, world models, and real-world reinforcement learning systems. The role combines frontier AI research with deployment on physical robots across career levels.
Research and develop hardware-aware model optimisations that adapt AI architectures and inference algorithms to heterogeneous accelerators. You’ll build automated discovery and evaluation methods to improve the trade-offs between model capability, latency, and cost.
AI/ML Research Consultant designing, training, and deploying machine-learning systems for novel, real-world defence and security challenges. The role combines scientific research, rapid prototyping, client collaboration, and practical implementation across varied projects.
Lead Canva’s specialized AI Security capability, setting strategic direction and developing secure-by-design frameworks for AI systems at scale. This staff-level role combines security engineering, threat research, incident readiness, and cross-organization technical leadership.
Applied Scientist building scalable methods and infrastructure for post-training, adapting, evaluating, and securely deploying foundation models for enterprise use. The role combines algorithmic innovation with hands-on ML systems development across Microsoft’s Frontier Tuning platform.
Principal Engineer leading AI and infrastructure research from experimental systems through production-scale agent platforms. The role defines long-term architecture, optimizes inference and hardware-software systems, and advises senior customers and industry leaders.
Join Google’s Developer AI Research team as a Senior Software Engineer advancing AI-assisted software development through novel research, engineering, and production deployment. The role focuses on agent systems, neurosymbolic techniques, formal reasoning, and human-agent collaboration.
Develop scalable machine learning algorithms and neural-network systems for Meta’s virtual and augmented reality platforms. This role combines applied AI research, model training, experimentation, and technical leadership from research through production.
Architect and advance large language models that process and generate natural language, including designing neural network parameters and training models on extensive unlabeled text data. The role combines deep LLM expertise with technical leadership, team collaboration, and mentorship.
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