DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. Build a strong understanding of our current computer vision systems and data pipelines. DeepWalk’s computer vision platform for automated sidewalk inspection.
Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase. This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. Leverage GCP for scalable big data
We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches. Bache
Hands-on experience building and improving computer vision or perception models. Train, evaluate, and iterate on computer vision models for:. Data Pipelines and Dataset Quality.