Recruiting from Scratch
Founding AI Engineer, Seed
Recruiting from Scratch, El Centro, California, United States, 92243
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. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.Our Client:Our client is at the forefront of revolutionizing computing with their cutting-edge decentralized platform. Their mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. Currently, their focus is on launching their first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with their expansive internet-scale mesh network.The company is led by co-founders with PhDs in AI, Blockchain, Math, and Systems, and is ready to redefine computing. They are currently seed stage.Location:
Hybrid in San Francisco Bay AreaAbout The Role:They are on the lookout for a Founding AI Engineer to join them 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. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.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.Have worked on distributed inference/fine-tuning for LLMs and diffusion models.Have practical skills in training, fine-tuning, and deploying neural networks.Understand ML performance profiling and optimization, including graph-level optimizations.Are familiar with common neural network architectures and operators.Preferred Qualifications:Experience with or willingness to learn Rust.Knowledge of ML compilers, with TVM experience being a significant advantage.Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.Understanding P2P networks or working with distributed cloud services and microservices.The salary range is $140,000 - $200,000
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Hybrid in San Francisco Bay AreaAbout The Role:They are on the lookout for a Founding AI Engineer to join them 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. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.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.Have worked on distributed inference/fine-tuning for LLMs and diffusion models.Have practical skills in training, fine-tuning, and deploying neural networks.Understand ML performance profiling and optimization, including graph-level optimizations.Are familiar with common neural network architectures and operators.Preferred Qualifications:Experience with or willingness to learn Rust.Knowledge of ML compilers, with TVM experience being a significant advantage.Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.Understanding P2P networks or working with distributed cloud services and microservices.The salary range is $140,000 - $200,000
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