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Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
This co-op researcher role at Huawei's Noah’s Ark lab involves conducting research on LLM post-training, agentic coding, and reinforcement learning. The researcher will design experiments, build scalable infrastructure, and develop intelligent agents using Python and PyTorch.
Member of Technical Staff - ML Performance About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Member of Technical Staff - AI Infrastructure About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers…
Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent…
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We…
About Majestic Labs We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it…
Мы — исследовательская команда, работающая на переднем краю LLM-технологий. Мейнстрим LLM-рецепт — это потолок, который мы пытаемся пробить: ищем архитектурные ходы, новые objective-функции, нестандартные режимы…
Develops and optimizes large-scale AI/GenAI models, including LLM training, GPU infrastructure, and agentic AI systems for enterprise use.
Design, optimize, and debug large-scale distributed GPU training systems for multimodal foundation world models, focusing on numerical precision, fault diagnostics, and performance profiling across PyTorch, CUDA, and distributed training frameworks.
Design, deploy, and optimize large-scale bare-metal GPU clusters (Slurm, Kubernetes) for distributed training of multimodal foundation models at a Physical AI startup.
Role Summary Optimize and fine-tune large language models (GPT-4o, Claude, Llama-3, etc.) for client-specific tasks in English, Arabic, Urdu, and Bengali. Key Responsibilities Collect, clean, and annotate domain data…
Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and…
A Developer Relations Engineer at Vast.ai who runs AI workloads on the company's GPU marketplace, creates public example repositories and benchmarks, and acts as the technical voice for the developer community while reporting issues to engineering and product teams.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team…
Build predictive world models using generative AI and deep learning to simulate how scenes evolve for autonomous driving and robotics, leveraging diffusion models and multimodal data.
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