"large scale model training" Jobs
1844 open tech roles matching “large scale model training”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1844 results
Join Iambic Therapeutics as a Software Engineer to develop agentic data pipelines for biomedical data using LLMs.
Join Cursor as a Software Engineer on the ML Platform to build infrastructure that enhances machine learning models and supports product engineers.
Join Anthropic's Inference team to design and maintain distributed systems that serve AI models to millions of users worldwide.
Join Airbnb as a Senior Machine Learning Engineer to develop AI systems that enhance trust and safety for millions of users.
Own the serving infrastructure for healthcare AI, optimizing LLM inference systems to enhance patient experiences.
Join Anthropic's Inference team to build and maintain systems that serve AI models to millions of users worldwide.
Join Adaptive as a Founding ML Engineer to build and define ML capabilities for AI-powered cybersecurity solutions.
Own financial analysis for GPU infrastructure and R&D at a leading AI company.
Lead the Runtime Fabric team at Baseten to build container runtimes tailored for AI inference workloads.
Join Sesame as a Machine Learning Scientist to develop innovative ML models in a collaborative startup environment.
Join Wintermute as a Machine Learning Researcher to develop alpha signal generation pipelines in a dynamic trading environment.
Join Sesame as a Staff Software Engineer to lead the development of backend infrastructure for innovative voice agent technology.
Lead the Data & Strategy team at Cartesia to enhance AI model capabilities through data sourcing and operational rigor.
Join Pinterest as a Machine Learning Engineer II to advance vision-centric LLMs and contribute to innovative AI solutions.
Join SpaceX as a Software Engineer to develop automated simulation tools for vehicle engineering and support AI-driven projects.
Build the platform behind Managed Agents, shaping the latency, reliability, and developer experience of real-time voice agents.