Research Scientist, GenAI, DeepMind
About The Position
As a Research Scientist at Google DeepMind, you will lead research that advances artificial intelligence and contributes to product innovation, infrastructure, and fundamental research. You will design and run large-scale experiments, prototype implementations, develop architectures, and apply current theories to real-world problems. The role includes managing technical roadmaps, experimental workflows, deadlines, and deliverables, and translating promising research into products and technologies. You will contribute to the wider research community by sharing and publishing findings, including work inspired by internal projects and collaborations with universities and technical institutes. Google DeepMind describes its mission as advancing AI to address complex global challenges and accelerate product innovation, with public benefit, scientific discovery, safety, and ethics as priorities. The role also involves guiding multidisciplinary research teams, collaborating with engineering, infrastructure, and product groups, and mentoring research scientists and engineers.
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Neuroscience, or a related quantitative scientific discipline, or equivalent practical research experience.
- Experience leading research projects from ideation to completion, including managing technical roadmaps and experimental workflows.
- Experience with Python and deep learning frameworks such as JAX, PyTorch, or TensorFlow.
- Experience with peer-reviewed publications as a lead or primary author in AI/ML venues such as NeurIPS, ICML, ICLR, CVPR, ACL, Nature, or Science.
Nice To Haves
- Subject-matter expertise in a core AI subfield, such as large foundation models, reinforcement learning, reasoning, agentic systems, or scientific AI applications.
- Experience connecting theoretical research breakthroughs with large-scale practical product or platform integration.
- Ability to communicate complex scientific concepts effectively to executive leadership, technical partners, and non-specialist audiences.
- Track record in collaborative research environments and driving cross-organization initiatives.
Responsibilities
- Define and lead strategic, high-impact research programs advancing state-of-the-art artificial intelligence models, algorithms, and theory.
- Provide technical leadership across multidisciplinary research pods, guiding technical directions, experimental design, and execution.
- Publish research findings in peer-reviewed artificial intelligence and machine learning conferences and scientific journals.
- Collaborate with software engineering, infrastructure, and product teams to translate foundational research advances into production-grade systems and platform capabilities.
- Mentor, coach, and guide early-to-mid-career research scientists and engineers, fostering scientific excellence and innovation.
- Advocate responsible AI development and integrate safety, alignment, and ethics into research initiatives from inception.
- Set up large-scale tests and deploy promising ideas quickly and broadly while managing deadlines and deliverables.
- Create experiments and prototype implementations, and design new architectures for real-world computer science problems.
- Share research findings and collaborate with research programs at partner universities and technical institutes.
Benefits
- 20% bonus target
- Equity
- Benefits are offered; details are available through Google’s benefits information.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
