About the role

Software Engineering Intern contributing to AI projects at Ada. Collaborating with professionals and learning in a dynamic environment.

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.

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.

Unlimited Vacation: Recharge when you need to.
Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
Employee & Family Assistance Plan: Resources to support you and your loved ones.
Flexible Work Schedule: Balance your work and personal life.
Remote-First, In-Person Friendly: Options to work from home or at our local hub.
Learning & Development Budget: Invest in your long-term growth goals and skills.
Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
Hands-On with LLMs: Enhance your expertise in leveraging large language models.
A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.