Research Assistant - Deep Learning and Computer Vision

We are looking for a motivated Research Assistant to support our Deep Learning team. Your work will focus on curating datasets, experimenting with cutting-edge deep learning models, and contributing to impactful AI projects. This is an excellent role for a graduating undergraduate eager to dive into AI and computer vision. Responsibilities: Curate, annotate, and preprocess datasets for computer vision tasks. Experiment with and fine-tune deep learning models. Test data augmentation techniques and monitor model performance. Analyze results and assist in hyperparameter tuning. Research the latest advancements in deep learning and computer vision. Qualifications: Bachelor's degree in Computer Science, Engineering, Physics, or related field. Knowledge of Python, NumPy, OpenCV, and deep learning frameworks (PyTorch/TensorFlow). Familiarity with CNNs and basic machine learning concepts. Enthusiasm to learn and work in a fast-paced startup environment.

At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns.