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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. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Research emerging AI topics in NLP, such as data/modeling strategies with LLMs, design of LLM-agents to orchestrate tools usage, multilingual understanding, multi-turn/multi-user context understanding, LLM training recipes (e.g., architectures, augmentation, reward-alignment), and model optimization/efficiency.
In this role, you will work with researchers, and cross-functional teams to address AI challenges, collaborate on POCs with novel ML techniques, and scale the POCs to demonstrate feasibility and potential impact. You will contribute to the technical direction of the team and participate in the broader ML research community.
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