AI Engineering Intern

What you'll do

• Prototype and ship AI-native products that reach millions of customers.
• Research, prototype, and productionalize high-impact AI systems like multimodal search and autonomous agentic workflows.
• Design and optimize AI stack infrastructure, including fine-tuning pre-training pipelines and reinforcement learning.
• Implement inference optimization, robust guardrails, and sophisticated evaluation frameworks.
• Architect agentic workflows that enable AI systems to autonomously navigate tools and orchestrate multi-step reasoning.
• Integrate AI workflows with complex microservice environments using AWS Ultraclusters and PyTorch.
• Develop agentic AI applications and platform capabilities for GenAI workflows and internal coding tools.

What we're looking for

• Must be currently pursuing a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field.
• Must expect to obtain the required degree by August 2028 or earlier.
• Must be continuing in the same course of study of the most recent degree following the internship period.
• Must be located in the continental United States for in-person attendance.
• At least 6 months of experience or academic work developing AI and ML algorithms or technologies.
• At least 6 months of experience or academic work programming with Python, Go, Scala, or Java.
• Experience or academic work with deploying AI/ML systems on cloud platforms (preferred).
• Experience or academic work with AI/ML domains such as LLM Inference, NLP, or Computer Vision (preferred).