Machine Learning Engineer - Web Data Quality

At Zyte , we make the world’s web data accessible to everyone. Our technology powers data extraction at scale, helping businesses and researchers unlock the full potential of the web. We’re a remote-first, multicultural team of engineers, data scientists, and innovators who believe in curiosity, collaboration, and continuous learning. If you’re passionate about building reliable AI systems and improving the quality of web data, we’d love to hear from you. About the Role As a Machine Learning Engineer - Web Data Quality, you will be responsible for developing and maintaining machine learning models that ensure the quality of our extracted data. This includes designing and implementing algorithms, working with cross-functional teams to integrate new features, and collaborating with data scientists to improve model performance. You will also contribute to the development of our data quality metrics and monitoring tools, ensuring that our data meets the highest standards. In this role, you will have the opportunity to work on a wide range of projects, from natural language processing to computer vision, and collaborate with experts in various fields. If you are passionate about building reliable AI systems and improving the quality of web data, we’d love to hear from you.