You will develop new data science solutions and improve existing algorithms while collaborating with data engineers and product teams. The role involves experimenting with new data sources and maintaining high-quality, scalable machine learning services.
You will develop and maintain a long-lived fork of Chromium for Android, including feature implementation, bug fixes, and upstream security updates. Additionally, you will manage the native content-filtering stack and ensure compliance with Google Play policies and data privacy regulations.
You will design and implement backend systems, APIs, and data transformation pipelines to deliver custom business intelligence dashboards for enterprise clients. Additionally, you will manage containerized applications using Kubernetes and optimize web crawlers to handle large volumes of data.
The Enterprise Solutions Engineer will lead technical solution validation, including discovery and proof of concepts, while articulating the strategic shift to AI-driven visibility to C-level executives. They will also act as a force multiplier for Account Executives and collaborate with product teams to translate client feedback into product enhancements.
