AI Engineer

Key Responsibilitie

 Own the AI/ML capability powering recommendations, search relevance and content intelligence across the

platform

 Design and build recommendation systems that personalize content discovery across video, audio, radio,

micro-drama and news

 Improve search relevance and ranking to help users find content faster across a growing content catalog

 Build content intelligence capabilities — including content tagging, classification and metadata enrichment —

to power discovery at scale

 Partner closely with the Backend Architect to integrate ML systems cleanly into the broader backend platform

 Partner with the Product Lead to translate product goals into measurable ML-driven outcomes

 Evaluate and introduce new ML tools, models and techniques where they meaningfully improve

recommendation quality or content intelligence

 Own model performance, monitoring and iteration as usage data grows across the platform

 Own the AI/ML technical roadmap as the platform scales beyond Phase 1

Required Qualifications

 5–8 years of experience building and deploying machine learning systems in production

 Deep, hands-on expertise in recommendation systems, search relevance or ranking models

 Strong understanding of the end-to-end ML lifecycle — data pipelines, model training, evaluation and

deployment

 Proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, or equivalent)

 Experience working with large-scale user behavior and content data to power personalization

 Comfortable operating as a high-impact individual contributor, leading through technical authority and

influence

 Excellent communication skills — able to translate ML outcomes and trade-offs for engineering, product and

non-technical stakeholdersPreferred Qualifications

 Experience in a media, content or co