AI Engineer

About the Role :

The company is building a media super-app bringing together video, audio, radio, micro-drama, news and commerce on a single platform. We're hiring an AI Engineer to own the AI/ML capability powering recommendations, search relevance and content intelligence across the platform.

This is a foundational, individual-contributor AI/ML role. You will define how machine learning powers content discovery and personalization across six content and commerce verticals, setting the technical direction the platform builds against as it scales.

Key Responsibilities :

- 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 behaviour 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 stakeholders.

Preferred Qualifications :

- Experience in a media, content or commerce super-app environment.

- Prior experience at a high-growth startup building 0-1 ML capabilities.

- Familiarity with content-based and collaborative filtering recommendation approaches across multiple content formats.

- Experience with real-time inference systems and MLOps practices at scale.