Sustainable AI Engineer Job Opportunity
2 weeks ago
- Conduct research in sustainable machine learning, focusing on Edge AI and TinyML.
- Develop efficient, low-power models that can operate on edge devices with limited computational resources.
- Collaborate with the machine learning group to drive innovative initiatives and advance research in the field.
- Communicate research findings through publications and presentations at conferences.
- Participate in teaching roles and contribute to the development of educational materials.
Requirements
To succeed in this role, you should have a master's degree in computer science, engineering physics, electrical engineering, data science, mathematics, or a similar field. Previous experience in areas such as artificial intelligence, embedded systems, robotics, or a closely relevant field equivalent is required. Additionally, you should have very good programming skills and high proficiency in oral and written communication in English. Experience in IoT and real-world experimentation will be highly considered as a merit.
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