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Salesforce

AI Labs Summer Internship

Salesforce

. Complete a highly selective 12-week summer internship in one of four AI Labs disciplines .

Posted 10/30/2026full-timeUnited StatesEntry Level💰 $53 - $57 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong technical capabilities in AI and software engineering, with proficiency in Python and a solid understanding of AI/ML concepts. Ability to collaborate effectively across disciplines and communicate complex technical ideas to diverse audiences.

Highest-signal resume keywords
Proficiency In PythonExperience In AI Or Machine Learning ApplicationsStrong Foundation In Data Structures And AlgorithmsExperience Using Modern AI Development ToolsPortfolio Evidence Of Building Or Deploying AI Applications

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringData EngineeringMachine LearningTechnical Problem-SolvingAI/ML ConceptsBuilding SoftwareDeveloping AI SolutionsScalable Data ProcessingMLOps PipelinesCloud Infrastructure
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationCuriosityHigh OwnershipAbility To Solve Complex Problems
Tools & Technologies
AI-Native Development ToolsSparkSQLAI AgentsEmerging Technologies
Industry Keywords
Product EngineeringProduct ManagementFDEDETCustomer ZeroCross-Functional CollaborationCapstone ProjectInternship ExperienceTechnical ProjectsSoftware Development

Tech Stack

Tools & technologies
CloudPythonSparkSQL

About the role

Key responsibilities & impact
  • Complete a highly selective 12-week summer internship in one of four AI Labs disciplines
  • Design, build, and ship AI-powered products in Product Engineering
  • Translate customer needs into product strategy and define priorities in Product Management
  • Develop and deploy AI solutions for real-world customer challenges in FDE / Builders
  • Reimagine enterprise workflows and operations using AI in DET / Customer Zero
  • Build and deliver solutions addressing technical, product, or customer challenges
  • Use AI-native development tools, AI agents, and emerging technologies
  • Collaborate with interns across disciplines on a cross-functional capstone project
  • Own assigned projects from problem definition and experimentation through development and delivery
  • Present the capstone solution, approach, and impact at an in-person Demo Day to an executive panel
  • Engage with engineering, product, FDE, and DET teams through mentorship, workshops, and cohort experiences
  • Potentially transition into Salesforce's 24-month AI Labs Rotational Fellowship or full-time opportunities following graduation

Requirements

What you’ll need
  • Currently pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related technical discipline
  • Graduating between December 2027 and June 2028
  • Strong foundation in data structures, algorithms, software engineering, and technical problem-solving
  • Experience developing software through academic projects, research, internships, or independent technical projects
  • Proficiency in Python
  • Experience building software, AI, or machine learning applications
  • Understanding of core AI/ML concepts
  • Experience using modern AI development tools
  • Demonstrated curiosity, high ownership, and ability to solve complex problems in fast-moving, ambiguous environments
  • Strong written and verbal communication skills
  • Ability to collaborate across disciplines and explain technical concepts clearly to technical and non-technical audiences
  • Portfolio evidence of building, deploying, or open-sourcing software or AI applications
  • Previous internship, research, or project experience in software engineering, data engineering, machine learning, product development, or solutions architecture
  • Experience working across engineering, product, design, or customer-facing teams
  • Exposure to cloud infrastructure, scalable data processing frameworks such as Spark and SQL, or MLOps pipelines for model deployment

Benefits

Comp & perks
  • Job shadowing
  • Mentorship programs
  • Talent development courses
  • Medical, dental, and vision insurance
  • Mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Time off programs
  • Potential full-time opportunities in the AI Labs Rotational Fellowship