Company Description HypeOn is a unified platform that brings the entire advertising workflow into one system, helping brands see which campaigns truly win in their market and turn those insights into new high-performing creatives. The platform identifies scaling competitor ads, shows real ROAS across Meta, Google, TikTok, and other channels, and decodes the hooks, angles, and formats winning in each niche.

HypeOn enables teams to generate static, video, and UGC ads based on proven angles while revealing competitor strengths and weaknesses. It also helps brands get discovered and recommended inside ChatGPT, Gemini, and AI search. If you care about profitable, data-driven growth, HypeOn offers a focused and innovative environment.

Role Description The AI Engineer Intern will work remotely and collaborate with the engineering and product teams to design, build, and experiment with AI-powered features that analyze ad performance and creative patterns. Daily tasks include prototyping and implementing models for pattern recognition, NLP, and neural networks, integrating AI components into production-grade software, and contributing to data pipelines that support cross-channel ad insights.

The intern will help improve algorithms that detect winning hooks and formats, assist with building tools that generate ad creatives,



and participate in code reviews, documentation, and model evaluations. This internship role involves hands-on development, experimentation with new AI techniques, and close collaboration with teammates in a fast-paced, growth-focused environment.

Qualifications

- Solid foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
- Skills in Neural Networks and Pattern Recognition for building and optimizing machine learning and deep learning models.
- Knowledge of Natural Language Processing (NLP) for understanding and generating text related to ad creatives and market hooks.
- Proficiency in Python or a similar programming language commonly used for AI and ML development.
- Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with training, evaluating, and deploying models.
- Ability to work independently in a remote setting, communicate clearly, and collaborate effectively with cross-functional teams.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
- Interest in digital marketing, performance advertising, and applying AI to real-world business problems is highly beneficial.

📌 AI Engineer (India)
🏢 HypeOn
📍 India