Large Language Model Architect

3 weeks ago


Mountain View, California, United States Google DeepMind Full time
Pioneering Multimodal AI Research

At DeepMind Technologies Limited, we're pushing the boundaries of artificial intelligence with our cutting-edge research in multimodal large language models. We're seeking a highly skilled Research Scientist to join our team and contribute to the development of novel multimodal LLM architectures, investigate post-training techniques for planning and reasoning, and translate research findings into practical applications.

Key Responsibilities
This role offers a unique opportunity to work alongside a world-class team of researchers and engineers to develop and advance the next generation of AI models that can seamlessly integrate and reason across different modalities such as text, images, audio, and video. Your primary responsibilities will include designing and implementing new model architectures that effectively integrate diverse modalities, researching innovative approaches to memory representation and retrieval, and exploring methods to enhance the planning and reasoning capabilities of multimodal LLMs after initial training.

Requirements
To succeed in this position, you should have a PhD in Computer Science, Statistics, or a related field, a strong publication record in top machine learning conferences, and extensive experience with deep learning frameworks (e.g., PyTorch, JAX) and large-scale model training. Experience with training, evaluating, or interpreting large language models, proven ability to design and execute independent research projects, and excellent communication and collaboration skills are also highly desirable.

Benefits and Compensation
The base salary range for this full-time position is estimated to be around $178,600 per year, plus bonus, equity, and benefits. As a member of our team, you will have access to cutting-edge technologies, collaborative work environment, and opportunities for professional growth and development.

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