Machine Learning Engineer, OpenGradient
Permissionless open-source AI model hosting
Open for applications
Permissionless open-source AI model hosting
1-20 employees
Open for applications
1-20 employees
Company mission
To accelerate open-source AI by democratizing model ownership, streamlining AI deployment, and ensuring universal access to cutting-edge AI technologies.
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Company mission
To accelerate open-source AI by democratizing model ownership, streamlining AI deployment, and ensuring universal access to cutting-edge AI technologies.
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Our take
Developers face significant challenges in creating secure software for custom AI models. OpenGradient simplifies this process by enabling near-instantaneous model deployment and secure inference in seconds. This allows developers to focus on building innovative applications without being hindered by infrastructure complexities.
Building the first decentralized platform dedicated to AI model hosting, OpenGradient is at the forefront of this evolution. By empowering developers to access and utilize AI resources without navigating the complexities of the blockchain, OpenGradient facilitates the development of optimized decentralized applications, making it easier to implement and manage custom AI models.
To accelerate its mission of democratizing AI, the company recently secured substantial funding. This capital will enable it to further enhance its decentralized infrastructure and continue advancing its offerings for AI and Web 3.0 developers. This positions it nicely for a bright future in the decentralized AI landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Company values
- Innovative: We build a cutting-edge infrastructure to unlock scalable AI compute on-chain and accelerate open-source AI. Our research group leads decentralized AI innovations by building models for Web3 use cases
- Decentralized: We decentralize AI model hosting and deployment to democratize AI ownership, enhance security, and foster innovation
- Empowering: We empower developers to build and deploy intelligent, optimized decentralized applications (dApps) with ease
Funding (1 round)
Oct 2024
$8.5m
SEED
Total funding: $8.5m
This company has top investors
Leadership
Matthew Wang
(Co-Founder & CEO)Graduated from Northwestern University with a BS in Computer Engineering. They're experienced in quantitative modeling and ML research and previously worked as a Research Engineer at Two Sigma.
Adam Balogh
(Co-Founder & CTO)Graduated from the Imperial College London with an MS in Advanced Computing. They have 7 years of experience as an AI Platform Lead at Palantir Technologies.
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Jobs (3)
Software Engineering
Sales & Account Management