Multimodal Foundation Model Researcher
6 days ago
Foundation Model Researcher
Join our team to tackle the most pressing challenges in artificial intelligence, driving innovation and growth.
The research scientist position is designed for ambitious individuals who are passionate about pushing the boundaries of foundation models. With a strong background in computer vision and deep learning, you will explore cutting-edge technologies that empower humans to create, interact, and understand the world better.
Key Responsibilities:
- Conduct advanced research on multimodal foundation models, tackling complex problems in areas such as natural language processing, computer vision, and speech recognition.
- Collaborate with an experienced team of researchers and engineers to advance the development of large-scale visual foundation models.
Requirements:
- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.
- Possess extensive knowledge and experience in one or more areas of computer vision, including multimodal generation, diffusion models, GANs, transformers, and vision-language models.
- Showcase a proven track record of impactful research through publications in leading AI conferences and journals.
Preferred Qualifications:
- Demonstrate expertise in differentiable programming frameworks like PyTorch, TensorFlow, JAX, etc.
- Possess proficiency in coding skills in C/C++ and Python.
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