Multimodal LLM Researcher
1 day ago
We are seeking a highly motivated and talented Research Scientist to join our team at the forefront of multimodal large language model (LLM) research at Google DeepMind. As a Research Scientist, you will be working 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.
Key Responsibilities- Design and implement novel multimodal LLM architectures with a focus on memory, researching innovative approaches to memory representation and retrieval, and enabling these models to learn and reason from long-range dependencies and complex multimodal information.
- Investigate post-training techniques for planning and reasoning, exploring and developing methods to enhance the planning and reasoning capabilities of multimodal LLMs after initial training.
- Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences, translating research findings into practical applications by building and evaluating prototypes that showcase the potential of multimodal LLMs.
To be successful as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- PhD in Computer Science, Statistics, or a related field.
- Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
- Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning.
In addition, the following would be an advantage:
- Experience with training, evaluating, or interpreting large language models.
- Proven ability to design and execute independent research projects.
- Excellent communication and collaboration skills.
- Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.
The US base salary range for this full-time position is between $136,000 - $210,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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