The AI Insights team builds customer-facing AI capabilities across CoreWeave’s Mission Control portfolio.
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Every listing shows a published salary. Filter by role, country, remote work or seniority. Updated 4h ago.
The AI Insights team builds customer-facing AI capabilities across CoreWeave’s Mission Control portfolio.
You will own real problems, work alongside the future leaders of this industry, and help build a company defining a category.
Lead sales for a design platform, focusing on enterprise clients. Manage the full sales cycle, from prospecting to closing, and develop strategic partnerships to drive revenue growth.
OpenAI · 1y ago
The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models.
The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations.
Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world.
As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization…
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As an Agent Strategist , you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day.
The Tooling and Factory Automation team sits at the intersection of design, manufacturing, and automation, making everything from large-scale structural fixtures to small tools that directly enable Terran R’s production.
Relativity Space · 1y ago
The Tooling and Factory Automation team sits at the intersection of design, manufacturing, and automation, making everything from large-scale structural fixtures to small tools that directly enable Terran R’s production.
Relativity Space · 1y ago
The Tooling and Factory Automation team sits at the intersection of design, manufacturing, and automation, making everything from large-scale structural fixtures to small tools that directly enable Terran R’s production.
The Factory Test team designs, builds, and operates the infrastructure needed to test nearly every part of Terran R right here at our headquarters in Long Beach, CA.
Databricks · 1y ago
As a member of our cloud infrastructure team, you will help design, build and maintain highly scalable and reliable systems powering Verkada’s services.
The Human Frontier Collective Fellowship is a fully remote, 6-month contract role for US-authorized researchers to collaborate on high-impact AI projects, evaluate generative AI systems, and co-author research publications.
Develop and optimize backend systems for an AI acceleration cloud, handling high-performance LLM inference and scalable infrastructure to support the full generative AI lifecycle.
Together AI · 1y ago
Senior AI Infrastructure Engineer building a global, high-performance AI cloud platform for generative AI lifecycle management.
In January 2024, a man paralyzed below the shoulders received a Neuralink implant. Within days he was playing chess and Civilization VI by imagining a cursor moving. That was our first product experience: computer control decoded from 1,024 electrodes in the brain’s motor cortex.
As a Forward Deployed Product Manager, AI Agent , you will create, deploy and optimize AI Agents that transform our customers’ businesses and delight their customers.
Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence. Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company.