Summer 2027 Intern - AI Research

Salesforce•Palo Alto, CA

1d•$49 - $68

About The Position

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. Interns will explore high-impact research directions, prototype AI capabilities, and help validate ideas with customers and turn them into production-ready solutions. They will work with mentors and research scientists and have access to Salesforce’s global customer and product ecosystem. The role combines research innovation with an emphasis on customer adoption and real-world impact, and offers the opportunity to contribute to work that may be published at top-tier conferences. Interns will collaborate with research scientists and engineers on projects focused on product impact; explore research with the potential to transform Enterprise AI; build models, agents, and AI systems for enterprise use; and learn how research works with product, engineering, and go-to-market teams. Focus areas include Agentic AI and Reasoning, Multimodal and Computer Vision, Speech Intelligence, and Core Modeling and Post-Training. The internship is in Summer 2027 and has a minimum duration of 12 weeks.

Requirements

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.
Experience with Python and deep learning frameworks such as PyTorch, JAX, or DeepSpeed.
Motivation to achieve real-world impact and see research reach users at scale.
Expertise in one or more of the following areas: Agentic AI and Reasoning; Multimodal and Computer Vision; Speech Intelligence; or Core Modeling and Post-Training.
Ability to conduct research with guidance from mentors and readiness to grow toward independence and translate ideas into impactful systems.

Nice To Haves

PhD or MS candidate in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Experience building and scaling ML models for real-world applications.
Strong programming skills, such as competitive programming (e.g., ACM-ICPC) or open-source experience.
Thoughtfulness about responsible AI, trust, and the real-world impact of systems built.
Excellent problem-solving ability to tackle unsolved challenges.
Excellent written and spoken communication skills.
Ability to collaborate effectively with teammates.

Responsibilities

Collaborate with research scientists and engineers on a project focused on real-world product impact, with the opportunity to publish the work at top-tier conferences.
Explore research directions with the potential to transform Enterprise AI.
Help turn promising ideas into zero-to-one AI product prototypes.
Build models, agents, and AI systems for real-world enterprise use.
Learn how research partners with product, engineering, and go-to-market teams to bring solutions to market.