Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Neuroscience, or a related quantitative scientific discipline, or equivalent practical research experience
- Experience in leading research projects from ideation to completion, including managing technical roadmaps and experimental workflows
- Experience in Python and deep learning frameworks (e.g., JAX, PyTorch, TensorFlow)
- Experience with peer-reviewed publications as lead or primary author in AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, Nature, Science)
More about this role
- Define and lead strategic, high-impact research programs advancing state-of-the-art artificial intelligence models, algorithms, and theory.
- Provide technical leadership across multi-disciplinary research pods, guiding technical directions, experimental design, and execution.
- Publish groundbreaking research findings in peer-reviewed artificial intelligence and machine learning conferences and scientific journals.
- Collaborate closely 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 a culture of scientific excellence and innovation.
- Advocate responsible AI development, ensuring safety, alignment, ethics, and are integrated into all research initiatives from inception.
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Neuroscience, or a related quantitative scientific discipline, or equivalent practical research experience.
- Experience in leading research projects from ideation to completion, including managing...
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