About the role
AI summarisedContribute to cutting-edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next-generation multimodal foundation models.
ResearchOnsite
Key Responsibilities
- Implement advanced deep learning algorithms for multimodal, multilingual LLMs.
- Explore innovative techniques to enhance training and inference efficiency of models.
- Propose novel architectures for next-generation multimodal foundation models.
- Translate research breakthroughs into real-world applications through collaboration with multidisciplinary teams.
- Drive experiments aimed at achieving state-of-the-art performance across diverse benchmarks.
Requirements
- PhD in ML, NLP, speech and spoken language processing, or multi-modal AI.
- Proficiency in programming skills.
- Familiarity with Linux environment.
- Familiarity with various deep learning and LLM training frameworks.
- Strong analytical and critical thinking abilities.
- Excellent team player with strong communication and interpersonal skills.
- Ability to replicate and reproduce state-of-the-art models and results, followed by innovation.