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Salesforce AI Research in Palo Alto seeks entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This internship blends research originality with real‑world impact, with mentorship and access to Salesforce’s product ecosystem.
You’ll work with researchers and engineers on real deployments, publish at top AI venues when possible, and prototype models, agents, and AI systems using Python and frameworks like PyTorch, JAX, or DeepSpeed.
We are looking for entrepreneurial Research Interns for Summer 2027 who want to help build the next generation of Enterprise AI. This is not a traditional research internshipWe are looking for people who are comfortable with ambiguity, bring energy and focus to their work, and care as much about customer adoption as technical innovationSpeech Intelligence: Voice intelligence, text-to-speech/automatic speech recognition, and low-latency audio processingYou have experience with Python and deep learning frameworks such as PyTorch, JAX, or DeepSpeedAgentic AI and Reasoning: LLM-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, computer use agents, deep research agents, and coding agentsYou have a strong publication record at top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) and/or experience building AI research into real-world systemsMultimodal and Computer Vision: Vision-language models, video understanding, and multimodal AI agentsYou bring expertise in one or more core focus areas:Core Modeling and Post-Training: Pre-training and post-training techniques including RLHF and direct preference optimization, model distillation, evaluation, and time series modelingYou can conduct research with guidance from mentors, and you are ready to grow toward independence and translate ideas into impactful systemsYou are motivated by real-world impact and care about seeing your research leave the lab and reach users at scaleYou are a PhD or MS candidate in Computer Science, Artificial Intelligence, Machine Learning, or a related technical fieldYou have experience building and scaling ML models for real-world applicationsYou have strong programming skills (competitive programming, e.g., ACM-ICPC, or open source experience)You are thoughtful about responsible AI, trust, and the real-world impact of the systems you buildYou are a fantastic problem solver, able to tackle challenges the world hasn’t solved beforeYou have excellent written and spoken communication skillsYou collaborate effectively with teammates