Develops advanced optimization techniques and high-performance GPU kernels for scaling LLM training. Requires expertise in CUDA, PyTorch, distributed frameworks, and NVIDIA GPU architecture.
As a research engineer on the Scaling team, you will advance the scientific frontier in deep learning by creating new optimization techniques beyond the state of the art. You will collaborate with researchers and engineers to encode scientific expertise into products for customer success with state-of-the-art LLMs and AI systems.
Senior Applied Researcher develops AI/ML solutions for healthcare challenges, applying GenAI, LLMs, and techniques like RAG to build production-ready models in SaaS environments. Requires Master's in relevant field, healthcare data experience, Python proficiency, and ML frameworks expertise.
Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.
Senior ML Research Scientist advances end-to-end ML models for autonomous driving, processing sensor data to behaviors using large-scale datasets and compute. Requires MS/PhD, 3+ years ML experience, Python expertise, and top-tier research publications.
As a Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.