Senior AI Engineer

• Train and deploy classifiers for categorization, moderation, quality scoring, and semantic understanding of generated media
• Build tagging, similarity, clustering, and discovery signals used for organization and search
• Own training data pipelines including dataset curation, annotation workflows, and quality control
• Design evaluation frameworks and monitor accuracy, performance, and model drift over time
• Prototype, evaluate, and productionize voice and audio models and pipelines
• Optimize inference performance including batching, caching, and hardware utilization
• Integrate machine learning systems behind production APIs

• 3+ years of experience building and deploying machine learning systems in production
• Hands-on experience training and tuning models using real datasets
• Strong foundations in computer vision and content understanding models
• Proficiency with Python and modern ML frameworks such as PyTorch or TensorFlow
• Experience with model serving, latency optimization, and monitoring
• Ability to move from research prototypes to reliable production systems

Our client, a high-growth media and influencer AI-technology company, is looking for an Sr AI Engineer (Media Intelligence, Classifiers & Voice R&D). This role blends applied machine learning engineering with hands-on research and prototyping. You will build classification, tagging, and discovery systems for large volumes of AI-generated media while leading experimentation in voice and audio intelligence. The emphasis is on shipping models into production, not just experimentation.