AI Experience Engineer

Develops and deploys AI-native solutions, integrating machine learning models into production systems with emphasis on distributed computing and model optimization to ensure scalability and performance.

Develops and deploys AI models to solve business problems, focusing on machine learning, deep learning, and data processing. Requires expertise in model development and deployment.

Architect, develop, and deploy high-performance, scalable AI applications into production environments, driving the development of intelligent agents and AI-powered features. Collaborate with research scientists and product managers to translate complex research into practical solutions, while championing responsible AI practices including bias detection, explainability, and safety alignment. Requires 5+ years of production ML/AI experience with proficiency in Python and frameworks like PyTorch, TensorFlow, or JAX.

Builds full-stack features for an AI-powered e-commerce platform, integrating machine learning models to enhance user experience. Requires proficiency in both frontend and backend technologies.

This role manages customer success for a portfolio of clients, ensuring satisfaction and driving renewals. It requires proactive relationship management and issue resolution to maintain high client retention.

This senior analyst role focuses on customer success for OEM clients, analyzing performance and driving retention strategies. The position requires deep understanding of OEM relationships and data-driven insights.

This role supports customer success for Chrome-related products, handling client inquiries and performing data analysis to improve customer satisfaction. It requires strong attention to detail and customer service skills.