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- Conduct research to explore novel approaches in computational imaging, leveraging artificial intelligence and machine learning techniques.
- Implement and optimize algorithms for real-time or near-real-time applications, considering computational efficiency and hardware constraints.
- Evaluate and validate algorithms using experimental data and real-world scenarios, ensuring robust performance and reliability.
- Stay up-to-date with the latest advancements in AI, machine learning, and imaging technology, and integrate relevant techniques into research projects.
- Publish research findings in peer-reviewed conferences and journals, and contribute to patent applications when applicable.
Preferred Requirements: - Ph.D. or equivalent experience in Computer Science, Electrical Engineering, or related field, with a focus on artificial intelligence, machine learning, computer vision, or computational imaging.
- Strong research background with a track record of publications in top-tier conferences or journals in relevant fields.
- PyTorch experience.
- Solid understanding of imaging principles, including optics, sensors, and image formation processes.
Applied AI Research Scientist - San Francisco, United States - DeepNight
Description
DeepNight is a seed-stage startup that leverages the latest advancements in AI to push the boundaries in computational imaging at the edge.
We are seeking a talented Applied AI Research Scientist specializing in computational imaging to join our team. You will be responsible for conducting innovative research and developing advanced algorithms at the intersection of artificial intelligence and imaging technology.
Responsibilities: