Intern, AI Engineering (AI)

TL;DR

Intern, AI Engineering (LLM Agents): Conducting original research on LLM-based agentic systems and efficient AI infrastructure for enterprise automation with an accent on agent architectures, fine-tuning, and high-performance inference. Focus on designing multi-agent collaboration, developing parameter-efficient adaptation methods, and optimizing inference pipelines for production deployment.

San Francisco, California. Ability to work in-person at our San Francisco office required.

Company

Leader in enterprise orchestration with an AI-powered platform connecting data, processes, applications, and experiences for global businesses.

What you will do

• Conduct original research on LLM agent architectures and optimization techniques.
• Develop and evaluate novel algorithms balancing academic rigor and production feasibility.
• Present work at internal seminars and external conferences.
• Mentor and collaborate with LLM engineers on implementation and deployment.
• Work on LLM agent systems, efficient fine-tuning, and high-performance inference.

Requirements

• Currently pursuing MS/PhD in Computer Science, Machine Learning, NLP, or related fields.
• Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL).
• Strong programming skills in Python and PyTorch.
• Ability to work in-person at our San Francisco office.
• Ability to work independently and collaborate across research and engineering teams.

Nice to have

• Experience with self-evolving agent systems.
• Proficiency in CUDA programming and custom kernel development.
• Background in reinforcement learning-based LLM fine-tuning.
• Track record of contributions to production inference systems (vLLM, TensorRT-LLM, SGLang, Hugging Face).
• Experience bridging academic research with production systems.
• Open-source contributions to ML infrastructure projects.

Culture & Benefits

• Flexible, trust-oriented culture empowering ownership.
• Driven by innovation with team players building the company.
• Balance productivity with self-care in a vibrant work environment.
• Multitude of benefits inside and outside work life.
• Recognized as top company for remote workers (though onsite required), enterprise startup, and fast-growing tech firm.