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 Frontiers Research Intern position at Microsoft AI Frontiers Lab focusing on advancing agentic model capabilities. The role involves creating models and agents that can perform tasks across digital systems using automation, reasoning, and interaction, leveraging both text and visual environments. The research includes areas like reinforcement learning for reasoning and tool use, novel training algorithms, synthetic environment creation, multi-agent training, scaling laws, and optimization techniques. The role also involves working with various data modalities and modern model architectures, with a focus on publishing in top-tier venues and potentially shipping AI technologies in products. | AgentPost-train | 10 |
| 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 |
| Principal Researcher - Agentic AI - Microsoft Research AI Frontiers Principal Researcher focused on expanding AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. The role involves developing self-improving, adaptive agents for dynamic enterprise environments, integrating pre-training, post-training, RL, multi-agent collaboration, and deployment. Key responsibilities include research on recursive self-improvement, continual learning, human-AI collaboration, and building robust evaluation frameworks and synthetic data pipelines. | AgentData | 9 |
| Senior Researcher - Agentic AI - Microsoft Research AI Frontiers Research Scientist focused on agentic AI, developing self-improving, multi-agent systems that learn through interaction. The role involves research on recursive self-improvement, adaptive coordination, continual learning, human-AI collaboration, and autonomous skill acquisition. It spans the research-to-deployment spectrum with a focus on building evaluation frameworks and synthetic data pipelines, and refining architectures for scalability. The work is grounded in foundation models and learning agent platforms, with potential for product impact and publication. | AgentData | 9 |
| Principal Applied Scientist Seeking a Principal Applied Scientist to research and develop novel AI agents, focusing on agentic systems, multi-step reasoning, and tool use. This role involves pushing the boundaries of AI agent capabilities and contributing to impactful AI products. | Agent | 9 |
| Research Intern - AI Frontiers - Reasoning & Agentic Models Research Intern position focused on advancing agentic model capabilities, including reasoning, tool use, and interaction across text and visual environments. The role involves developing novel training algorithms, exploring synthetic environments, multi-agent training, and scaling laws, with a focus on foundational models and modern architectures. The internship offers a chance to publish findings and potentially ship AI technologies in products. | AgentPost-train | 9 |
| Research Intern - Foundation Models and Agentic Systems Research intern role focused on advancing Generative AI and LLM technologies, specifically in foundation models and agentic systems. The work involves developing, improving, and exploring LLMs and Multimodal AI models, with research areas including reasoning, orchestration, multi-agent systems, and evaluation. | AgentPost-train | 9 |
| Senior Principal Researcher - Microsoft Research AI Frontiers Senior Principal Researcher at Microsoft Research AI Frontiers focused on pushing the boundaries of agentic AI, including large language and multimodal models, reasoning, and multi-agent systems. The role involves leading research, developing training methodologies, curating datasets, designing evaluation frameworks, and prototyping new agentic capabilities, with opportunities for publication and real-world impact. | AgentPost-train | 9 |
| Research Software Engineer - Multiple Levels- AI Frontiers Research Software Engineer focused on Generative AI and agentic applications within Microsoft Research's AI Frontiers lab. The role involves developing, improving, and exploring capabilities of AI models and agentic systems, with a focus on creating reliable digital workers that can execute entire workflows and collaborate with humans and other agents. Key areas include enhancing agent reasoning, improving robustness, reimagining workflows for an agent-native world, and creating end-to-end experiences. | AgentData | 9 |
| Research Intern - OneDrive and SharePoint (Summer 2026) Research intern to investigate, propose, implement, and evaluate new approaches in LLMs, Multimodal AI, Reinforcement Learning, Conversational AI, and AI Agents for OneDrive and SharePoint. Will conduct experiments, develop AI models, design evaluation metrics, build datasets, and deliver models for content understanding and use across various modalities. Focus on applying scientific methods to real-world problems in content and collaboration. | AgentData | 9 |
| Member of Technical Staff - Machine Learning (AI Team) Research role focused on creating LLM models for general purpose capabilities and products, with a focus on agentive applications and advancing AI towards controllable, safety-aligned superintelligence. Responsibilities include developing new training methods, data collection, evaluation, and building user-facing features. | AgentPost-train | 9 |
| Research Intern - Memory & Orchestration in Large Language Models Research intern role focused on developing new LLM memory representation and orchestration systems, including advanced RAG and embedding techniques, for enterprise and consumer applications. | Agent | 9 |
| Senior Researcher - AI Agents - Microsoft Research Senior Researcher focused on advancing state-of-the-art in agentic systems and ecosystems, including building agent-native ecosystems, developing advanced agentic capabilities through post-training methods, creating novel human-agent interaction techniques, and developing evaluation benchmarks and tooling for agents. The role emphasizes outcome-driven innovation, collaborative innovation, problem-solving, decision-making, and the scientific method, with a strong publication policy and potential for shipping AI technologies. | AgentPost-train | 9 |
| Research Intern - AI Frontiers - Reasoning & Agentic Models Research intern role focused on advancing agentic model capabilities, including reasoning, tool use, and end-to-end workflow execution across text and visual environments. The role involves research in reinforcement learning, novel training algorithms, synthetic environment creation, multi-agent training, and scaling laws, with a focus on foundational models and various data modalities. The internship aims to contribute to cutting-edge research and potentially ship AI technologies in products. | AgentPost-train | 9 |
| Research Intern - Systems for Reliable and Scalable AI Agents Research Intern position focused on building reliable, safe, and efficient AI agents. The role involves exploring formal verification, reliability, safety, intelligent task handling, secure execution, and efficiency optimization for AI agents. It is a research-focused role within Microsoft Research, aiming to tackle complex challenges in AI agent systems. | Agent | 9 |
| Security Research Intern - AI Focus AI Security Research Intern focused on developing autonomous systems to detect and disrupt cyber attacks in near real-time, leveraging LLMs and agentic frameworks. | Agent | 8 |
| Research Intern - AI Safety & Reliability for LLM Systems Research intern to study LLM-based assistants' behavior with incomplete information, focusing on uncertainty awareness, responsible reasoning, and robustness for enterprise AI systems. | Agent | 8 |
| Sr Research Scientist Senior Research Scientist to lead cutting-edge projects from concept to product, focusing on AI for Developers. This role involves building and training state-of-the-art models, applying and advancing techniques for leveraging LLMs in software engineering (including RAG and evaluation), and collaborating with product teams to run large-scale experiments and improve AI solutions. The primary focus is on AI for code completion and editing, retrieval-augmented systems for codebases, and efficient inference algorithms for code generation. | AgentServe | 8 |
| Research Intern - Agentic Programming Research Intern role focused on agentic programming, involving building agentic workflows and ML models for software engineering tasks, within a PhD program context. | Agent | 8 |
| Research Intern - Security, Privacy and AI Research intern to conduct threat modeling for LLM-enabled agentic designs, develop formal security frameworks, and produce security proofs and empirical validations. Deliverable within 12 weeks. | AgentEval Gate | 8 |
| Research Intern - Microsoft Teams (PhD) Research intern role at Microsoft Teams focusing on AI-driven innovation in collaboration and communication technologies. Projects may involve AI agents, conversation intelligence, meeting efficiency, and user experience, with a strong emphasis on privacy, security, and accessibility. The role involves applying research methods to real-world challenges in digital collaboration. | AgentPost-train | 8 |
| Principal Security Researcher Principal Security Researcher focused on designing and executing advanced adversary simulations using AI-enabled and agentic systems. The role involves evaluating AI-driven detections and defenses, translating attacker tradecraft into actionable insights, and contributing to the development of AI-driven security research workflows. | Agent | 7 |
| Principal Security Researcher Principal Security Researcher (Red Team) at Microsoft, focused on using AI and agentic systems to scale offensive security research, adversary emulation, and tooling development. The role involves designing and executing complex attack simulations, developing advanced offensive tools, and evaluating defensive systems, with a strong emphasis on AI-enabled automation and adaptive attack paths. | Agent | 7 |
| Senior Security Researcher Senior Security Researcher role focused on offensive security research using AI-enabled and agentic systems to emulate real-world cyberattacks. The role involves designing and executing adversary simulations, developing offensive tooling, conducting malware research, and leveraging threat intelligence. A key aspect is utilizing AI and LLM-driven workflows to scale attack development, automation, and simulation fidelity, while partnering with blue teams to improve detections and defensive capabilities. | Agent | 7 |
| Security Research Intern Security Research Intern role focused on analyzing real-world nation state attacks to develop autonomous detection and disruption logic using AI-assisted tooling and agentic flows. The role involves investigating threats, reasoning over large-scale datasets, and contributing to the implementation of automated capabilities to protect users. | Agent | 7 |
| Research Intern - Human-AI Interaction Research and Design (Health AI) Research Intern position focused on Human-AI Interaction in Healthcare, applying AI/ML and user-centered design to develop novel solutions for precision medicine. The role involves foundational discovery research, building interactive prototypes, and exploring generative UI and multimodal AI with clinical data. | Agent | 7 |
| Research Intern - Reliability of Cloud and AI Systems Research intern role focused on applying LLM and Agentic technology to improve the reliability of large-scale cloud and AI systems. The role involves analyzing production data, designing and building novel tools for monitoring and troubleshooting, and validating solutions on real Microsoft services. | AgentServe | 7 |
