Currently tracking 427 active AI roles, up 208% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $193k).
| Title | Stage | AI score |
|---|---|---|
| Research Intern - AI Agents & Efficiency Research intern role focused on building advanced LLM agents with memory, tool use, and multi-agent collaboration, and driving efficiency in LLM applications through context engineering, adaptive inference, and system optimization. | AgentServe | 9 |
| Member of Technical Staff, AI Multimodal - MAI Superintelligence Team Research role focused on training frontier multimodal AI foundation models at scale, pushing boundaries of performance and deployment. Involves algorithm development, model architecture design, experimentation, data innovation, and improving training/deployment efficiency. | Pretrain |
| 9 |
| Member of Technical Staff, Data Research Engineer - MAI Superintelligence Team Seeking Data Research Engineers to join the Multimodal team, focusing on building next-generation foundation models. The role involves exploring, designing, and building high-quality multimodal datasets (vision, language, audio) for training and evaluation, collaborating with scientists and engineers, and developing scalable data pipelines. Responsibilities include data analysis, quality assessment, building tools for auditing, and ensuring datasets meet responsible AI practices. | Data | 7 |
| Cambridge Residency Programme - Experimental Materials Scientist This is a 24-month fixed-term post-doctoral Residency within the Future AI Infrastructure group at Microsoft Research Cambridge (UK), contributing to the Materials for the Cloud project. The role sits at the interface of machine-learning-accelerated materials discovery and experimental materials science, focused on the synthesis and characterisation of novel thin-film materials for future AI cloud infrastructure. | — | 5 |
| Cambridge Internship: Novel Light Source Design Research internship focused on designing and simulating novel light source concepts for next-generation optical transmitters to improve data centre infrastructure for AI-scale systems. Involves lab-based experimental evaluation. | — | 0 |