Artificial Intelligence Intern

Role overview

What you will do

• Develop technical solutions for engineers evaluating data and AI solutions.
• Consult on architecture, implement proofs of concept, and deliver solutions for strategic projects, including data science and machine learning systems.
• Build and present product architectures, write code, and demonstrate applications to stakeholders.
• Use the Innovator Method to turn customer insights into business-value solutions.
• Support colleagues, build cross-functional relationships, and ship production solutions that meet business needs.

Required qualifications

• Graduate or pursuing a relevant bachelor's degree at an accredited university, or attending a credentialed software accelerator program.
• Minimum 3.7 cumulative GPA on a 4.0 scale without rounding, with strong computer science or STEM academic performance.
• Experience designing AI solutions and architecting distributed data systems.
• Proficiency programming and debugging with Python, C#, C++, and SQL.
• Hands-on experience with at least one of machine learning, large language models, or computer vision.
• Experience building solutions on a public cloud platform such as AWS or Azure.
• Customer-centric mindset and ability to lead design thinking workshops; no prior work experience is required.

Preferred qualification

• AWS and/or Azure certification is preferred but not required.
• The internship offers exposure to cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

Internship schedule

• Winter internships are full-time and spring internships are part-time.

Workplace

• The internship is remote.

Internship details

• The internship is paid and offers travel opportunities, real-world project ownership, and mentorship from experienced engineers.

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