
Multimodal Research Scientist
5 days ago
We are a multidisciplinary team dedicated to pushing the boundaries of artificial intelligence. Our mission is to develop cutting-edge technologies that enable humans and machines to interact seamlessly.
- Our focus areas include multimodal understanding, generative models, machine learning, reinforcement learning, AIGC, computer vision, and artificial intelligence.
- We strive to advance the state-of-the-art in these fields through rigorous research and experimentation.
To achieve our goals, we are looking for talented individuals who share our passion for innovation and collaboration.
Responsibilities- Conduct research and development of multimodal models, exploring new techniques and methodologies to improve their performance.
- Design and implement large-scale experiments to test the capabilities of our models.
- Collaborate with cross-functional teams to integrate our models into real-world applications.
Requirements:
- Bachelor's degree or higher in a relevant field (e.g., computer science, mathematics, engineering).
- Strong background in machine learning, deep learning, and/or computer vision.
- Excellent programming skills in languages such as Python, C++, or Java.
Preferred Qualifications:
- Experience with leading-edge AI frameworks and tools (e.g., TensorFlow, PyTorch).
- Familiarity with cloud computing platforms (e.g., AWS, Azure).
- Strong publication record in top-tier conferences and journals.
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