Tech Stack

Description

You will partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, prototype and productionize AI systems, and develop scalable AI infrastructure. Your work will power intuitive features like recommendations, natural language interfaces, and agentic workflows for thousands of enterprises.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 10+ years building and deploying production-grade AI/ML systems
• Deep knowledge of ML, deep learning, and applied AI
• Experience across full ML lifecycle: data curation, training, deployment, monitoring
• Experience adapting or training foundation models (language or multimodal)

Responsibilities

• Partner with product, design, and engineering to identify AI/ML opportunities
• Prototype and productionize AI systems (recommendations, NL interfaces, agentic workflows)
• Develop and scale AI/ML infrastructure for internal and customer-facing features
• Tackle novel UX problems at the intersection of AI, BI, and apps