Intern, AI Engineering

TL;DR

Intern, AI Engineering: Conducting original research on LLM-based agentic systems and efficient AI infrastructure with an accent on developing novel algorithms and making direct impact on production systems. Focus on publishing research, collaborating with LLM engineers, and evaluating algorithms with academic rigor and production feasibility.

Location: Ability to work in-person at our San Francisco office

Company

hirify.global transforms technology complexity into business opportunity as the leader in enterprise orchestration, helping businesses globally streamline operations with its AI-powered platform.

What you will do

• Conduct original research on LLM agent architectures and optimization techniques.
• Develop and evaluate novel algorithms with both academic rigor and production feasibility.
• Present your work at internal research seminars and external conferences.
• Mentor and collaborate with LLM engineers on implementation and deployment.

Requirements

• Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, 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 for LLM operations.
• Background in reinforcement learning-based LLM fine-tuning.
• Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem.
• Experience bridging academic research with production systems.
• Open-source contributions to widely-used ML infrastructure projects.

Culture & Benefits

• Flexible, trust-oriented culture empowering everyone to take full ownership of their roles.
• Driven by innovation and looking for team players.
• Balancing productivity with self-care, offering a vibrant and dynamic work environment.
• Recognized as an "enterprise startup to bet your career on" by Business Insider.
• Recognized by Forbes’ Cloud 100 as one of the top 100 private cloud companies in the world.
• Ranked #1 best company for remote workers by Quartz.