AI Labs Summer Internship

Salesforce

. Complete a 12-week summer internship embedded in one of four AI Labs disciplines: Build, Shape, Deliver, or Transform .

Posted 10/30/2026internshipUnited 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 problem-solving abilities with a solid foundation in data structures, algorithms, and software engineering. Proficient in Python and experienced in building AI or machine learning applications using modern AI development tools.

Highest-signal resume keywords

Proficiency In PythonExperience In Software EngineeringUnderstanding Of Core AI/ML ConceptsStrong Written And Verbal Communication SkillsExperience Using Modern AI Development Tools

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

Data StructuresAlgorithmsSoftware EngineeringTechnical Problem-SolvingAI Application DevelopmentMachine Learning Application DevelopmentPortfolio Evidence Of Software DevelopmentCloud Infrastructure ExposureSQLSpark

Soft Skills

Collaboration Across DisciplinesClear Communication Of Technical Concepts

Tools & Technologies

AI-Native Development ToolsMLOps PipelinesScalable Data Processing Frameworks

Industry Keywords

Artificial IntelligenceData ScienceComputer ScienceComputer EngineeringProduct DevelopmentSolutions Architecture

Tech Stack

Tools & technologies

CloudPythonSparkSQL

About the role

Key responsibilities & impact

Complete a 12-week summer internship embedded in one of four AI Labs disciplines: Build, Shape, Deliver, or Transform
Build and deliver AI solutions addressing real 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 team's capstone project at an in-person Demo Day to an executive panel
Engage with engineering, product, FDE, and DET teams through mentorship, workshops, and cohort experiences
Work alongside experienced researchers, engineers, product managers, and technical leaders

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
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 is an advantage
Previous internship, research, or project experience in software engineering, data engineering, machine learning, product development, or solutions architecture is an advantage
Experience working across engineering, product, design, or customer-facing teams is an advantage
Exposure to cloud infrastructure, scalable data processing frameworks such as Spark and SQL, or MLOps pipelines is an advantage

Benefits

Comp & perks

Job shadowing
Mentorship programs
Talent development courses
AI-native development tools
Mentorship, workshops, and cohort experiences
Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Potential eligibility for incentive compensation, equity, and benefits