Gain exposure to custom applications built on Salesforce and other open-source technologies.
Work with cloud-based technologies such as Azure, AWS and cloud-based SAAS applications.
Work with a team of motivated engineers that drive innovation and optimization in marketing technology.
Build websites on CMS platforms and JS frameworks such as React.js and Next.js.
Learn and contribute to several key generative AI and ML initiatives.
Hands-on experience with DevOps practices, including continuous integration and deployment.
Learn technical and soft skills that will help make your resume stand out.

Be enrolled in an accredited undergraduate degree program related to computer science, IT, information science, management information systems, data science, mathematics, physics, or digital marketing with a graduation year of 2027.
An understanding of object-oriented programming and experience with at least one programming language (Java, JavaScript, Python, C, C#, C++, Ruby).
An understanding of databases, data modeling, and data science concepts.
Knowledge of AI/ML with related Python/R packages, generative AI, and LLM (Large Language Model) concepts.
Experience with GPT models, natural language processing (NLP), and conversational AI technologies is a plus.
Exposure to building web applications or websites, preferably using rich modern JS frameworks.
Strong attention to detail and ability to work in a fast-paced environment.
An adaptive mindset and desire to learn new technologies quickly.
Critical thinking, curiosity, and strong analytical skills.
Ability to work full 40-hour weeks virtually from June 17
August 7, 2026 (internship dates cannot be altered).

Software Engineer – Virtual Internship

Key skills