Software Engineering Intern
Ada
Summary
Join Ada, a leading AI customer experience platform, as an Undergraduate Software Engineering Intern/Co-op! This 4-month (May 7 to August 29, 2025) program offers 2nd, 3rd, or 4th-year undergraduate students a unique opportunity to apply their skills and learn from experienced AI professionals. You'll contribute to exciting projects, develop practical skills, and make meaningful contributions to our innovative AI solutions. The role requires proficiency in programming languages like Python, Java, or C++, a basic understanding of data structures and algorithms, and strong problem-solving skills. Ada offers a flexible work schedule, a remote-first environment, and various development opportunities. This is a chance to gain valuable experience in a dynamic and growing AI company.
Requirements
- Be currently enrolled as a 2nd or 3rd-year undergraduate student pursuing a degree in Computer Science, Engineering, or a related field
- Have previous co-op or internship experience
- Possess proficiency in programming languages such as Python, Java, or C++
- Have a basic understanding of data structures, algorithms, and software design principles
- Demonstrate eagerness to learn and apply new technologies, particularly in the field of artificial intelligence
- Possess strong problem-solving skills and attention to detail
- Have excellent communication, collaboration, and interpersonal skills
- Be able to work effectively both independently and as part of a team
Responsibilities
- Deliver high-quality production-ready code with direction from the team
- Execute on defined tasks and contribute to solving problems with defined solutions in the AI space
- Participate in the core processes of the team (planning, on-call rotations, bug triage, metrics review, etc)
- Participate in code reviews and raise questions to help me learn the codebases and technologies relevant to my work
- Contribute to a positive sense of community on my team (e.g., engage in team activities, offsites etc)
- Proactively share relevant information on my project including difficult task-level trade-offs that impact the product to my manager and team (including product/business partners)
- Actively contribute to virtual program learning sessions such as: time management and career development etc
Preferred Qualifications
Have previous experience with AI or machine learning concepts
Benefits
- Unlimited Vacation
- Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance
- Wellness Account
- Employee & Family Assistance Plan
- Flexible Work Schedule
- Remote-First, In-Person Friendly
- Learning & Development Budget
- Work from Home Budget
- Access to Cutting-Edge AI Tools
- Hands-On with LLMs
- A Thriving Industry