Senior Machine Learning Engineer (Multimodal AI)
Core
Build and deploy AI-powered prediction models that analyze video, audio, and text to predict human emotional responses and ad performance for a global marketing client.
Role type
Senior IC multimodal machine learning engineer
Builds
Production ML models for brand recognition, emotional intensity, saliency, and social ad performance prediction; API-first SaaS platform
Domain
AdTech / MarTech / Behavioral Science
Deliverable
production ML models
Required skills
Deep learning model training and fine-tuning, PyTorch, multimodal architectures (video/audio/fusion), computer vision, video data pipelines, transfer learning, MLOps, cloud GPU training, software engineering fundamentals
Preferred skills
Affective computing, audio ML, saliency prediction, OCR, LLM integration, cloud migration (Azure to AWS), AI-assisted development
Technologies
PyTorch, AWS SageMaker, Lightning AI, Azure ML, Weights & Biases, Git, CI/CD
Responsibilities
Drive accuracy improvements on existing multimodal emotion prediction models, design and evaluate new models for brand fluency and emotional intensity, build and improve ML infrastructure including dataset management, extend models with speech understanding and OCR capabilities, write production-quality code within CI/CD workflows, mentor internal engineers transitioning into ML, collaborate with technology leadership on roadmap prioritization
Seniority
Senior, hands-on IC with mentorship responsibilities
