Machine Learning Engineer II- Recommendation Systems

What you will be doing We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems. You will design, build, and deploy intelligent systems that power Glance's personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems. Your responsibilities will include: Classical ML & Recommendation Systems; Design, develop, and deploy large-scale recommendation systems using machine learning algorithms; Collaborate with cross-functional teams to integrate AI-driven features into Glance's products; Develop and maintain a deep understanding of the latest advancements in agentic AI systems; Stay up-to-date with industry trends and best practices in machine learning and AI; Work closely with data engineers, product managers, and other stakeholders to ensure seamless integration of AI-powered features; Develop and maintain technical documentation for AI-driven features; Participate in code reviews and contribute to open-source projects; Collaborate with the research team to explore new ideas and concepts in agentic AI systems.