"large scale distributed model training" Jobs

Lead the post-training and evaluation capabilities for large language models in a dynamic AI research lab.

Lead model training and post-training strategies for emotionally intelligent AI at Inflection AI.

Join Harvey AI as a Research Engineer to drive post-training experiments and enhance legal AI models.

Join Cantina as a Research Scientist to develop next-generation video foundation models and shape the future of AI-driven creativity.

Design and maintain large-scale backend infrastructure for a leading generative AI platform at Fireworks AI.

Build and optimize large-scale machine learning systems for recommendation and personalization at Reddit.

Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.

Join Krea.ai as a Machine Learning Engineer to work on innovative AI tools for creatives in a collaborative environment.

Join Krea to build innovative AI tools in a hands-on role focused on supercomputing and distributed systems.

Join Reddit as a Senior Machine Learning Systems Engineer to build next-gen ML research tools and platforms for Ads ML lifecycle.

Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.

Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.

Own the data infrastructure for foundational models at Sarvam AI, focusing on large-scale data pipelines and quality systems.

Join Hedra as a Research Engineer to lead the development of action-conditioned world models in a pioneering Physical AI team.

Join Mirendil as a staff engineer to work on cutting-edge AI pretraining, optimizing models and infrastructure.

Join Together AI as a Research Engineer to develop a platform for customizing open-source models with user data.

Join Cantina as an ML Engineer in Singapore to build and scale systems for processing large-scale video and multimodal data.