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Job Description:
- Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); decision making in a complex and realistic environment; neuroscience-inspired AI; trustworthy AI and theoretical foundations;
- Collaborate on large projects that are strategically prioritized by the SAIL.
- Currently has, or is in the process of obtaining, a PhD degree in computer science or related field.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
- Publications or experience in machine learning, AI, computer vision, optimization or data sciences.
- Experience in utilizing theoretical and empirical approaches to solve problems.
- Ability to communicate complex research in a clear, precise, and actionable manner.
- Experiment building systems based on deep learning methods.
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX.
Job Description:
- Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); decision making in a complex and realistic environment; neuroscience-inspired AI; trustworthy AI and theoretical foundations;
- Collaborate on large projects that are strategically prioritized by the SAIL.
- Currently has, or is in the process of obtaining, a PhD degree in computer science or related field.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
- Publications or experience in machine learning, AI, computer vision, optimization or data sciences.
- Experience in utilizing theoretical and empirical approaches to solve problems.
- Ability to communicate complex research in a clear, precise, and actionable manner.
- Experiment building systems based on deep learning methods.
- Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX.