Senior Applied Research Scientist - Foundation Models
Core
Building multimodal foundation models (Vision-Language Models) for physical security to reduce false alarms and speed up threat assessment.
Role type
Senior Applied Research Scientist (Foundation Models)
Builds
Reasoning Vision-Language Models for physical security platforms
Domain
Physical Security + Multimodal AI
Deliverable
production ML models
Required skills
Vision-Language Models (VLMs), Transformers, Model Compression (distillation/quantization), Large-scale training pipelines, Python/C++, PyTorch/TensorFlow
Preferred skills
Foundation models, Startup experience, CNNs, Vision Transformers (ViT)
Technologies
PyTorch, TensorFlow, Python, C++
Responsibilities
Design and optimize transformer-based vision-language models for real-time inference; Own full training pipeline from pre-training to fine-tuning; Apply model compression techniques for edge deployment; Prototype new architectures and training methods; Collaborate with engineering to integrate models; Design experiments to enhance core AI systems
Seniority
Senior, hands-on IC
