Software Engineer Intern, Merge

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
• Solid programming skills in Python and familiarity with one typed language commonly used in backend systems
• Experience with at least one of: LLM tool-calling, RAG, fine-tuning, or structured evaluation of model outputs
• Comfort with data wrangling, writing small services or scripts, and using APIs
• Clear, concise written and verbal communication, with an eye for detail and reproducibility

Desirable

• Merge is looking for an Applied AI Intern to help prototype, evaluate, and productionize AI capabilities that power our next-generation Agent Handler
• You are excited to turn cutting-edge research into resilient, real-world systems
• You enjoy rapid experimentation, care about data quality and evaluation rigor, and thrive in an in-person, highly collaborative environment in San Francisco
• You’ll partner with engineers and PMs to build agents and tooling that can safely act across third-party systems, with an emphasis on reliability, observability, and developer-first ergonomics
• Build and iterate on agentic workflows and tools for real product use cases, from prompt design to tool-calling and evaluation
• Implement and benchmark model- and retrieval-based approaches for classification, extraction, and decision-making
• Design offline and online evaluations, including golden sets, regression tests, and success metrics tied to product outcomes
• Prototype developer-facing utilities and internal services that improve agent reliability, latency, and cost control
• Collaborate with product and engineering on scoping, experiment design, and production rollouts
• Contribute to documentation and internal playbooks for repeatable AI development