AI Research (Summer 2027 Intern)

Join Salesforce AI Research, a global leader in Enterprise AI. As a Summer 2027 intern, you'll work on high-impact research projects, prototype cutting-edge AI capabilities, and see your ideas validated with customers and turned into production-ready solutions. You'll have the freedom to propose and explore new ideas, collaborate with research scientists and engineers, and learn how research partners with product, engineering, and go-to-market teams. This internship offers a unique opportunity to do research with global impact.

- Collaborer avec des scientifiques et des ingénieurs de recherche sur un projet axé sur l'impact des produits dans le monde réel, avec la possibilité de publier votre travail dans des conférences de premier plan. - Explorer des directions de recherche ayant le potentiel de transformer l'IA d'entreprise et aider à transformer des idées prometteuses en prototypes de produits d'IA. - Construire des modèles, des agents et des systèmes d'IA pour une utilisation réelle dans l'entreprise, et apprendre comment la recherche s'associe aux équipes produit, d'ingénierie et de mise sur le marché.

- 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 internship - We 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 innovation - Speech Intelligence: Voice intelligence, text-to-speech/automatic speech recognition, and low-latency audio processing - You have experience with Python and deep learning frameworks such as PyTorch, JAX, or DeepSpeed - Agentic AI and Reasoning: LLM-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, computer use agents, deep research agents, and coding agents - You 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 systems - Multimodal and Computer Vision: Vision-language models, video understanding, and multimodal AI agents - You 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 modeling - You can conduct research with guidance from mentors, and you are ready to grow toward independence and translate ideas into impactful systems - You are motivated by real-world impact and care about seeing your research leave the lab and reach users at scale - You are a PhD or MS candidate in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field - You have experience building and scaling ML models for real-world applications - You 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 build - You are a fantastic problem solver, able to tackle challenges the world hasn't solved before - You have excellent written and spoken communication skills - You collaborate effectively with teammates