Description

We are seeking a dynamic and talented Undergraduate Software Engineering Interns/Co-ops to join our team. This experience provides a unique opportunity for 2nd or 3rd or 4th-year undergraduates to apply their skills and learn from experienced professionals in artificial intelligence. You'll work on exciting projects, develop practical skills, and make meaningful contributions to our innovative AI solutions.

At Ada, our program runs for 14 weeks, with spring contract dates being May 29th - August 29th, 2024. 

About You

  • Currently enrolled as a 2nd or 3rd-year undergraduate student pursuing a degree in Computer Science, Engineering, or a related field.
  • Must have previous co-op or internship experience
  • Proficiency in programming languages such as Python, Java, or C++.
  • Basic understanding of data structures, algorithms, and software design principles.
  • Eagerness to learn and apply new technologies, particularly in the field of artificial intelligence.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication, collaboration, and interpersonal skills.
  • Ability to work effectively both independently and as part of a team.
  • Previous experience with AI or machine learning concepts is a plus but not required.

Outcomes

  • 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 ect) 
  • 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 ect.

Perks

  • Flexible work schedule
  • Remote-first, In-person friendly work environment
  • Development opportunities

 

 

 

 

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