Salesforce AI Research Intern - Summer 2025

Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drive AI innovation across pure research, applied research, and new product incubation- all built on our powerful AI platform. We bring companies and customers together using AI that is explainable, transparent, and accountable.

As part of our team you'll learn unique skills, work with talented people, influence the industry standard for fair and ethical use of artificial intelligence and help us to shape the future of AI.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more fields:

• Natural Language Processing
• Computer Vision
• Reinforcement Learning
• General Machine Learning

Our research focus includes but is not limited to the following:

• AI Agents
• AI for Software Developers
• AI for Operations / Time Series
• Responsible & Trusted AI
• AI for Knowledge Management
• Mobile AI
• Multimodal AI
• Large Language/Action Modeling
• Human-AI Interaction
• Automatic Evaluation

Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are preferred.

As a research intern, you will:

• Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference
• Learn about exciting research and applications outside your expertise
• Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community
• Attend conferences with our researchers to showcase your accepted papers

Requirements:

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

This internship is a minimum of 12 weeks.

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