Product Pulse develops AI that operates computers like humans, navigating browsers and processing documents to automate finance operations. As an Applied AI Engineer, you will work on browser agent reliability, document understanding, and inference optimization, building production systems that improve accuracy and speed. This role is for someone who thrives on turning research into production, working on UI interaction, unstructured data parsing, and tool use.
Responsibilities
Push state-of-the-art across core automation capabilities: UI interaction, unstructured data parsing, tool use
Build adaptive systems that self-heal when environments change
Design fine-tuning pipelines that learn from customer-specific workflows
Optimize latency across the stack using model selection, quantization, caching, and routing strategies
Requirements
Strong Python and ML frameworks, particularly PyTorch
Eval-and-metric mindset focused on production metrics
Comfort with messy data and making it useful
Track record of shipping end-to-end systems
Crisp communication about your work
Based in San Francisco or willing to relocate, in-person 5 days a week
Nice to Have
Experience with RL, retrieval systems, or agent-based systems