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Large Language Models In Jobs
2190 open positions · Updated 1 month ago
Showing 20 of 2190 positions
Search with filters →Join Together AI as a Research Engineer to optimize large-scale training infrastructure for cutting-edge AI models.
Join Perplexity AI as an AI Infrastructure Engineer to design and optimize large-scale AI training and inference clusters.
Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.
Join World Labs as a Research Scientist to advance generative modeling and create innovative 3D worlds.
Own the serving infrastructure for healthcare AI, optimizing LLM inference systems to enhance patient experiences.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Macroscope as an Applied ML Engineer to enhance machine learning systems in a collaborative startup environment.
Lead the fine-tuning and optimization of LLMs to enhance AI products at Airbnb with a focus on customer support.
Lead research in realtime audio understanding and human AI interaction at a pioneering AI startup.
Join Ambient.ai as a Senior Applied Research Scientist to develop cutting-edge foundation models for computer vision in a hybrid work environment.
Join TRM Labs as a Senior AI Agent Engineer to build intelligent agents that enhance investigative decision-making in a fully remote environment.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.
Join Cartesia as a Language Lead for Japanese, managing voice AI projects with a focus on quality and linguistics.
Join Genmo as a Research Scientist to lead initiatives in alignment and post-training for large-scale video generation models.
Design and operate large-scale GPU infrastructure for model inference and mid-training workloads at Reflection AI.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.
Join Pika as a Senior/Staff ML Engineer to enhance AI-driven products through advanced inference acceleration and GPU optimization.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.