About the role
AI summarisedThe Senior Scientist I will conduct advanced research and development in multimodal and multilingual large language models (LLMs). This role focuses on implementing deep learning algorithms and novel architectures to improve training efficiency and drive state-of-the-art performance for real-world applications.
ResearchOnsite
Key Responsibilities
- Contribute to cutting-edge research and development in multimodal, multilingual large language models.
- Implement advanced deep learning algorithms.
- Explore innovative techniques to improve training and inference efficiency.
- Propose novel architectures for next-generation multimodal foundation models.
- Help translate research breakthroughs into real-world applications.
- Work collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation.
- Drive experiments that achieve state-of-the-art performance across diverse benchmarks.
Requirements
- PhD in ML, NLP, speech and spoken language processing and multi-modal AI.
- Proficient programming skills.
- Familiarity with Linux is a must.
- Familiar with different deep learning and LLM training frameworks.
- Strong analytical and critical thinking skills.
- Good team player with good communication and interpersonal skills.
- Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks.