about 1 month ago
Responsibilities
- Design and implement deep learning solutions for real-time detection, tracking, and segmentation on drones.
- Leverage unsupervised learning and few-shot learning methods for data-efficient machine learning.
- Curate and enhance synthetic and structured video datasets for deep learning algorithms.
- Refine and optimize models for low-latency performance on embedded hardware.
- Characterize and quantify the performance of vision systems.
- Research and prototype new approaches in deep learning.
- Assist in various aspects of software development as needed.
Requirements
- Hands-on experience creating and deploying deep learning models.
- Experience curating synthetic and real-world image datasets.
- Solid foundation in software engineering with proficiency in Python and C++.
- Experience in prototyping, training, optimizing, and deploying deep neural networks.
- Ability to read and contextualize scientific literature in computer vision.
- Ability to thrive in a fast-paced, collaborative team environment.