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AI Research Scientist
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- Develops machine learning algorithms, such as supervised and self-supervised learning, deep learning, reinforcement learning, Bayesian analysis, as well as neuromorphic-inspired and brain-inspired methods to solve applied problems in various disciplines such as Cognitive AI, Computer Vision, Audio, Natural Language Processing, Robotics, etc.
- Plans and executes laboratory research.
- Contributes to scientific literature and conferences via paper publications.
- Minimum Qualifications: The candidate must possess a Master's degree or PhD degree in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or a related field.
- 3+ years of experience in below areas:Natural Language Processing (NLP)Computer vision and/or multimodal systemsPreferred Qualifications:Demonstrated ability to drive state-of-the-art AI research with publications in Tier-1 venues such as AAAI, NeurIPS, ICLR, ACL, CVPR, ICML, EMNLP, ICCV, ECCVExperience with Multimodal AI Systems including but not limited to multimodal transformers, multimodal language models, diffusion models, speech, and audio models.
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