Research Scientist at Google Research focused on fundamental research and innovation in AI/ML, including machine learning, deep learning, data mining, NLP, and core search. The role involves setting up large-scale tests, deploying ideas, publishing findings, and contributing to the wider research community. Requires a PhD and experience leading research agendas with publication submissions.

Research Engineer focused on inference-optimized model design for Gemini pretraining, working across the LLM preparation stack (pretraining, fine tuning, serving) and understanding JAX/TPU execution. Requires 5 years of experience in inference-optimized model design and experience with product teams.

Research Scientist role focused on developing new algorithms in AI for mathematics and theoretical research, with a focus on privacy and machine learning, and translating these insights into Google products. The role involves publishing research in top conferences.

Research Engineer at Google DeepMind focused on architecting, scaling, and landing latent thinking in Large Language Models (LLMs) and reasoning. The role involves developing novel algorithms, formulating research hypotheses, designing and implementing ML experiments, and partnering with teams to integrate scientific breakthroughs into frontier models. Experience in LLM training (pre-training or post-training) and publishing research is preferred.

Research Scientist at Google DeepMind focusing on groundbreaking research in language technology, particularly multilingual and multicultural ability. The role involves solving new problems, improving existing models, developing technical solutions, and communicating research findings. Requires a PhD in NLP/ML or equivalent, Python, neural network training experience, and publication submissions. Preferred experience includes LLM pretraining, post-training, inference with multilingual data, and novel evaluations.

Research Software Engineer at Google Research focused on pioneering AI research in Singapore, specifically on developing performant, efficient, and capable generative AI models. The role involves abstracting problems, designing solutions, prototyping, profiling, benchmarking, and collaborating with global research and product teams.

Staff AI Research Engineer focused on architecting the strategy and roadmap for foundation recommender model pre-training. This role involves owning the research agenda, defining and prioritizing experiments for model quality under compute constraints, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks.

Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning.

Post-doctoral researcher role focused on fundamental research and applied problems in AI/ML, with opportunities to contribute to products and services. The role involves formulating research projects, conducting research, publishing high-quality work, designing and executing large-scale experiments, and writing production-ready code using frameworks like JAX. Requires a PhD in a STEM field and research experience in ML/AI, with publications in top-tier AI conferences.

Staff Research Scientist at Google Cloud AI Research focusing on fundamental AI research, pushing the state-of-the-art, and collaborating with product teams to bring innovations to market. The role involves authoring research papers, defining research strategies, and contributing to the wider research community.

Senior Staff Research Scientist at Google Cloud AI Research focusing on fundamental research, new product innovation, and infrastructure goals within AI and Infrastructure. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products and technologies. It also includes contributing to the research community through publications and collaborations. The team works on hyperscale computing, AI models, and infrastructure at a global scale, contributing to products like Vertex AI. Responsibilities include authoring research papers, contributing to research growth, delivering full projects, identifying new research areas, and engaging stakeholders to address undefined problems.

Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to intelligent systems for Google products. Responsibilities include authoring research papers, defining research solutions, conducting experiments, and developing research prototypes. Requires a PhD and publication record, with preferred experience in owning research agendas.

Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research, developing solutions for large-scale problems, and potentially contributing to publications.

Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research to solve real-world, large-scale problems, with opportunities across various Google research teams.

Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems.

Student Researcher role at Google focused on participating in research projects to develop solutions for real-world, large-scale problems, advancing the state of the art in computing and building the next generation of intelligent systems. Projects are exploratory and drive scientific advancement across multiple research areas, utilizing the latest computer science techniques.