Full Stack AI Developer Intern

Company Description Deviation Lab helps teams predict social trends before they become widely visible by analyzing how ideas, formats, creators, products, and narratives spread across social platforms. The company focuses on early signals such as creator adoption velocity, remix behavior, cross-community spread, audience sentiment, search lift, and commercial intent. This approach enables clients to distinguish meaningful momentum from background noise and make more confident, data-informed decisions.
Deviation's intelligence supports content strategy, market research, creator discovery, product direction, campaign planning, competitive intelligence, and cultural analysis. The team is building an early-warning system for social trends, culture, and emerging demand.
Role Description The Full Stack AI Developer Intern will work on-site in Hanoi as part of an interdisciplinary team building tools that detect and analyze emerging social trends. This internship role involves developing and maintaining full stack applications, integrating machine learning models into production systems, and contributing to data pipelines that process social platform signals. Day-to-day activities may include implementing APIs, building user interfaces for internal dashboards, optimizing backend performance, and collaborating with data and research teammates to translate analytical needs into technical solutions.
The intern will participate in code reviews, documentation, and iterative prototyping, gaining exposure to both AI engineering and product-oriented development in a fast-paced environment.
Qualifications
Foundational programming skills in languages commonly used for AI and web development (e.g., Python, JavaScript/TypeScript).
Experience or coursework in web development, including frontend frameworks (e.g., React, Vue) and backend frameworks (e.g., [protected info], Django, Flask).
Basic understanding of machine learning or deep learning concepts, and familiarity with common libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Exposure to databases and data processing tools, such as SQL/NoSQL databases and data manipulation with Python.
Comfort working with APIs, integrating services, and handling JSON or other structured data formats.
Strong problem-solving skills, attention to detail, and ability to write clear, maintainable code.
Interest in social platforms, digital culture, and data-driven approaches to understanding trends.
Ability to collaborate effectively in an on-site team environment in Hanoi, communicate clearly in English, and learn quickly from feedback.
Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Engineering, or a related field is preferred.