Artificial Intelligence Intern

Company and role context

What you will do

• Develop technical solutions that help engineers evaluate and adopt data and AI solutions.
• Advise on architecture, implement proofs of concept, and deliver strategic-project solutions, including data science and machine learning systems.
• Build and present product architectures, write technical code, and demonstrate applications to stakeholders.
• Use the Innovator Method to turn customer insights into solutions with business value.
• Develop skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
• Support colleagues, build cross-functional relationships, and help ship production solutions that meet business needs.

Required qualifications

• Graduate or pursuing a bachelor's degree in computer science, aerospace engineering, mechanical engineering, or a related field at an accredited university, or have a credential from a software accelerator program.
• Minimum cumulative GPA of 3.7 on a 4.0 scale, without rounding, and strong academic performance in computer science or another STEM discipline.
• Experience designing AI solutions and architecting distributed data systems.
• Proficiency in programming and debugging with Python, C#, C++, and SQL.
• Customer-centric mindset and ability to lead design thinking workshops.
• Hands-on experience in machine learning, large language models, or computer vision.
• Experience building solutions with a public cloud platform such as AWS or Azure.
• AWS and/or Azure certification is preferred but not required.
• No prior work experience is required.

Internship schedule

• Winter internship is full-time; spring internship is part-time.
• The internship is paid and includes travel opportunities, project ownership, and mentorship from experienced engineers.

Workplace

• The position is remote.