Artificial Intelligence Intern

Company and team

Role overview

What you will do

• Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
• Advise 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 technical code, and demonstrate applications to stakeholders.
• Use the Innovator Method to turn customer insights into solutions that deliver business value.
• Support team members, build cross-functional relationships, and ship production solutions that meet business needs.

Required qualifications

• Be a graduate of or pursuing a bachelor's degree in computer science, aerospace engineering, mechanical engineering, or a related field at an accredited university, or attend a credentialed software accelerator program.
• Have a cumulative GPA of at least 3.7 on a 4.0 scale, without rounding, and strong academic performance in computer science or another STEM discipline.
• Have experience designing AI solutions and architecting distributed data systems.
• Be proficient in programming and debugging with Python, C#, C++, and SQL.
• Have a customer-centric mindset and the ability to lead design thinking workshops.
• Have hands-on experience in at least one of machine learning, large language models, or computer vision.
• Have experience building solutions using 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

• Spring internship runs from March to June.

Workplace

• The internship is remote.

Internship opportunities

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