Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Generative AI, DeepMind Research Scientist at Google DeepMind focused on designing and developing novel generative methodologies, particularly diffusion models, for media synthesis and scientific discovery. The role involves collaborating with international teams, utilizing advanced deep learning techniques, and contributing to the advancement of AI for public benefit and product innovation. | Post-trainPretrain | 10 |
| Research Scientist, Mechanistic Interpretability, Special Projects Research Scientist focused on mechanistic interpretability of large language models to ensure safety, alignment, and reliability. This role involves exploring emerging interpretability methods, developing open-source infrastructure, performing causal validation, and publishing findings. The scientist will also write code for experiments on distributed compute clusters. |
| Post-train |
| 10 |
| Research Software Engineer, Generative AI Research Software Engineer focused on developing foundational models and core technologies for synthesizing reality, particularly human body, face, and related components, to power machine learning, build better products, and enable next-generation user experiences, with applications in AR and XR devices. The role involves developing algorithms for 3D body shape estimation, rigging, skinning, and physics-based generative animation conditioned on multimodal inputs, with a requirement for publication in AI conferences. | Post-trainServe | 9 |
| Visiting Faculty Researcher, AI Personalization Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization. | Post-trainAgent | 9 |
| Audio Algorithm Architect, Applied Research Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences. | Post-train | 9 |
| Staff Research Scientist, Google Ads GenAI Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings. | Post-trainAgent | 9 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, develop and evaluate ML models, and collaborate with product and engineering teams to improve safety systems. The work involves handling large datasets in an adversarial environment, aiming to detect and prevent various forms of abuse. | Post-train | 7 |