Career Renew
AI Lead - Blockchain
Career Renew, San Francisco, California, United States, 94199
Career Renew is recruiting for one of its clients an AI Lead - Blockchain - this is a hybrid role in San Francisco, US.On a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.As we prepare for growth with our seed round, backed by industry leaders, our team—led by co-founders with PhDs in AI, Math, and Computer Science—is poised to redefine computing.About The Role:
We're on the lookout for an AI Engineer to join us in shaping the future of decentralized AI. In this role, you'll work alongside our Engineering team to develop our decentralized AI platform.
This role requires the candidate to reside in the United States. Team members are expected to work in-person in the San Francisco Bay Area at least 75% of the time.Responsibilities:
Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.Work on distributed inference/fine-tuning for LLMs and diffusion models.Knowledge of ML compilers, with TVM experience being a significant advantage.Understand ML performance profiling and optimization, including graph-level optimizations.
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We're on the lookout for an AI Engineer to join us in shaping the future of decentralized AI. In this role, you'll work alongside our Engineering team to develop our decentralized AI platform.
This role requires the candidate to reside in the United States. Team members are expected to work in-person in the San Francisco Bay Area at least 75% of the time.Responsibilities:
Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.Work on distributed inference/fine-tuning for LLMs and diffusion models.Knowledge of ML compilers, with TVM experience being a significant advantage.Understand ML performance profiling and optimization, including graph-level optimizations.
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