16 days ago
Zürich, SwitzerlandIntern
Responsibilities
- Design, implement, and deploy deep learning models focused on computational photography applications.
- Leverage real-world video and sensor data for data mining, curation, labeling, training, and evaluation.
- Utilize large-scale synthetic data to enhance deep learning algorithms.
- Refine and optimize models for low-latency on embedded hardware and cloud-based deployment.
- Develop evaluation benchmarks and metrics to assess autonomous system performance.
- Assist in various aspects of software development as needed.
Requirements
- M.S. or Ph.D. in computer science, electrical engineering, or a related discipline.
- Hands-on experience in designing, training, and deploying deep learning models.
- Proficiency in Python/PyTorch and preferably C++ for high-quality code delivery.
- Ability to utilize state-of-the-art academic literature for rapid iteration.
- Strong communication skills and ability to thrive in a collaborative, technical environment.
- Comfortable navigating and delivering within a complex codebase.