Principal Data Scientist (Computer Vision)- 8+ years
Core
Architecting the long-term technical vision for AI/ML and media understanding ecosystems, focusing on multimodal data foundations and generative AI for global media catalogs.
Role type
Principal Data Scientist (Computer Vision & Generative AI)
Builds
Multimodal machine learning systems, petabyte-scale data foundations, and high-performance inference platforms for media content.
Domain
Media & Entertainment, Computer Vision, Generative AI
Deliverable
production ML models
Required skills
Python, Java, C++, PyTorch, TensorFlow, Object Detection (YOLO), Image Segmentation (Mask R-CNN), Video Understanding, GPU Optimization (TensorRT, Quantization, Pruning), Distributed Computing (Spark, Flink), MLOps (Kafka, Airflow, Kubernetes, AWS Bedrock, SageMaker)
Preferred skills
Experience with diffusion models, vision transformers, multi-agent architectures, NVIDIA DeepStream, Triton Inference Server
Technologies
PyTorch, TensorFlow, YOLO, Mask R-CNN, TensorRT, Spark, Flink, Kafka, Airflow, Kubernetes, AWS Bedrock, SageMaker, NVIDIA DeepStream, Triton Inference Server
Responsibilities
Shape technical vision for AI/ML across the content product ecosystem; Architect complex multimodal machine learning systems; Lead design of horizontal foundational capability layers; Oversee development of high-performance inference systems; Define rigorous evaluation frameworks and observability; Mentor data science and ML engineering communities.
Seniority
Principal, strategy & mentorship