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Gensyn is at the forefront of machine intelligence, aiming to revolutionize knowledge-keeping and creation through advanced neural networks. Founded on the principles of open, permissionless, and neutral protocols, Gensyn focuses on developing the essential compute hardware and software that enables machine intelligence to thrive alongside human intelligence. The company fosters a culture of autonomy and direct feedback, emphasizing small, efficient teams that prioritize focus and reject mediocrity. With a commitment to innovation and high standards of code quality, Gensyn is dedicated to building solutions for complex challenges in distributed machine learning.
Gensyn
Join as a Marketing Manager to lead community and marketing efforts for an innovative AI and Blockchain technology.
Gensyn
The Head of Finance will lead the financial strategy and operations of the company in a fully remote role.
Gensyn
Join Gensyn as a Solidity Smart Contract Engineer to design and audit smart contracts for machine learning workflows.
Gensyn
Join as a Product Manager to drive the development of a machine intelligence protocol in a fully remote environment.
Gensyn
Join a team focused on building infrastructure for machine intelligence with a fully remote work environment.
Gensyn
Join as a Research Scientist to innovate in machine learning and publish groundbreaking research.
Gensyn
Join as a GPU Software Engineer to develop core components for machine learning protocols in a fully remote environment.
Gensyn
The Engineering Team Lead will manage high-performance teams and drive engineering excellence in a fully remote environment.
Gensyn
Join as a Deep Learning Compiler Engineer to develop and optimize compilers for machine intelligence.
Gensyn
Join as a Machine Learning Research Engineer to design and build scalable deep learning systems.
Gensyn
Join Gensyn as a DevOps Engineer to support the development and deployment of machine intelligence protocols.
Gensyn
Join Gensyn as a Systems Engineer to build software for distributed machine learning in a fully remote environment.
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