Summer 2026 Intern - AI Research

Salesforce Salesforce · Enterprise · Palo Alto, CA

Salesforce AI Research is seeking outstanding research interns to collaborate on projects leading to top-tier conference submissions. The role involves developing novel algorithms in NLP, CV, RL, or general ML, with a focus on pure research aligned with PhD areas. Candidates should have a strong background in deep learning and experience with libraries like PyTorch or TensorFlow.

What you'd actually do

  1. Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.
  2. Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.
  3. Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.
  4. Learn about exciting research and applications outside your expertise.
  5. Attend conferences with our researchers to showcase accepted papers (when applicable).

Skills

Required

  • PhD or MS candidate in a relevant research area
  • Strong background in machine learning, natural language processing, computer vision, or reinforcement learning
  • Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods
  • Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow)
  • Strong algorithmic problem-solving skills
  • Programming proficiency in Python, Java, C/C++, Lua, or a similar language

Nice to have

  • Published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI)

What the JD emphasized

  • publication track record
  • top-tier conferences
  • top-tier conference submission

Other signals

  • AI Research
  • novel algorithms
  • top-tier conference submission