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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. You have experience deploying production applications in the cloud using orchestration and containerization (Docker, Terraform, Kubernetes.
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This role is for our client that is currently in seed stage and looking to grow out their engineering team. Our client allows smart contracts to compute over the entire history of Ethereum in a fully trustless way.
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Understanding P2P networks or worked with distributed cloud services and microservices Our Client: Redefining Trust in Decentralization: The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving.
$140,000 - $200,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI. Collaborative and Visionary Culture: Our client is where collaboration meets innovation.
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Our Client: Our client is at the forefront at revolutionizing computing with our cutting-edge decentralized platform. This architecture enables developers to create their services using a familiar client-server model, serving millions of clients without concerns about the decentralized nature.
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Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow. The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. Preferred Qualifications: Experience with or willingness to learn Rust. Knowledge of ML compilers, with TVM experience being a significant advantage.
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The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. While this method provides strong transaction security, it's not suited for applications requiring low latency and high performance, like AI, streaming, or gaming.
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Location: Hybrid in San Francisco Bay Area About The Role: They are on the lookout for a Founding AI Engineer to join us in shaping the future of decentralized AI. In this crucial role, you'll work alongside the co-founders to architect and develop a decentralized AI platform.
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Who You Are: You are the ideal candidate if you: Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects. The first layer is an Internet-scale mesh network that delivers data with high speed, utilizing a smart routing protocol.
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They are currently seed stage. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.
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Our focus is on delivering scalable, cost-effective, and reliable AI solutions that empower users with true ownership and control. Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies.
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Currently, their focus is on launching our first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with our expansive internet-scale mesh network.
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Understand ML performance profiling and optimization, including graph-level optimizations. Our mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide.
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Revolutionizing Decentralized Systems : At its core, the platform is designed with innovation as a two-layer architecture. Our team is 100% remote and we work with teams across the United States to help them hire.
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Pioneering Decentralized AI: Their first product is a decentralized AI service pipeline, marks the start of our transformative journey. Our culture is built on the belief that every team member brings unique ideas and expertise to the table.
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