Staff Machine Learning Engineer (Video Insights)
Core
Fine-tuning large video models (Vid-LLMs) and optimizing inference for video understanding tasks within a subscription monetization platform.
Role type
Staff Machine Learning Engineer (Video Insights)
Builds
Scalable video understanding models and adaptation pipelines for a 250M+ subscription platform
Domain
Video AI, Multimodal AI, Subscription Monetization
Deliverable
production ML models
Required skills
Python, PyTorch, LoRA/QLoRA/PEFT fine-tuning, video codecs, computer vision, CUDA, MLOps tools
Preferred skills
MS or PhD in ML/AI, 7-9 years of experience
Technologies
PyTorch, CUDA, MLflow, Weights & Biases
Responsibilities
Fine-tune large video models using LoRA/QLoRA/PEFT, design model adaptation pipelines, optimize inference via quantization/distillation, conduct ablation studies, build evaluation frameworks, collaborate on tuning objectives, document methodologies
Seniority
Staff, functional lead & hands-on IC
