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The Research Engineer will conduct product-driven research and apply advanced machine learning methods to real-world educational challenges. Responsibilities include developing benchmarks, training multimodal models, integrating them into products, and influencing technical strategy in a collaborative environment.
The Program Manager will lead and deliver strategic programs for Google DeepMind's People and Culture organization, working closely with teams to ensure effective collaboration and project delivery. Responsibilities include managing a portfolio of projects, employing various project methodologies, and crafting solutions for ongoing initiatives. Excellent communication and problem-solving skills are essential.
The Technical Program Manager will lead projects in machine learning and collaborate with product and research teams to drive impactful applications. Responsibilities include project management, progress tracking, fostering collaboration, and process improvement. The role requires extensive program management expertise, strong communication skills, and a technical background.
Join our team as a Research Scientist focused on generative AI and large language models in Mountain View or New York. Conduct cutting-edge research on data, modeling, and applications to drive trustworthy AI solutions with real-world impact. PhD in a technical field or equivalent experience required. Pay range: $161,000 - $245,000 per year + bonus + equity + benefits.
As a Research Engineer at Google DeepMind, you will apply advanced machine learning models to tackle real-world problems, design experiments, and work with product teams. You will collaborate with engineers and researchers, focusing on areas like Generative Media and Reinforcement Learning, while also gaining insights into transitioning research to production.
The Technical Program Manager will oversee and manage Google DeepMind's ML Hardware portfolio by collaborating with Product Managers, Engineers, and Researchers. Responsibilities include scaling processes for collecting data on ML hardware requirements, managing capacity allocation, improving efficiency and resource availability, and developing educational materials and tools for teams.
As a Technical Program Manager at Google DeepMind, you will help manage the ML Hardware portfolio by working with product managers and engineers. Your responsibilities include analyzing hardware requirements, optimizing resource allocation, supporting pilot programs, and producing documentation to aid in efficiency and communication.
The Research Scientist will focus on enhancing the quality and language coverage of Gemini's multilingual models. Responsibilities include conducting research on multilingual language models, developing scalable data quality validation methods, evaluating model performance, and collaborating with internal teams to integrate research findings.
As a Research Scientist on the Mint Team at Google DeepMind, you will conduct research on misinformation by developing algorithms, designing experiments, analyzing data, and publishing findings. You'll collaborate with peers and lead projects related to machine learning solutions for media integrity.
The Product Manager will collaborate with research teams and product groups within Google Cloud to develop product roadmaps, build partnerships, influence product direction, and ensure product success through strategic decision-making and collaboration.
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