Allora Labs
Allora Labs is an innovative company that builds industry-leading AI and crypto infrastructure. The company aims to commoditize the world's intelligence by empowering developers, academics, and financial professionals to create decentralized AI applications. With a team experienced in leading financial institutions and tech companies, Allora Labs is supported by prominent crypto funds and is focused on providing a source of self-improving collective intelligence through its various products and protocols.
AI • Machine Learning • Blockchain • Crypto • Security
ML Engineer
4 days ago
Allora Labs
Allora Labs is an innovative company that builds industry-leading AI and crypto infrastructure. The company aims to commoditize the world's intelligence by empowering developers, academics, and financial professionals to create decentralized AI applications. With a team experienced in leading financial institutions and tech companies, Allora Labs is supported by prominent crypto funds and is focused on providing a source of self-improving collective intelligence through its various products and protocols.
AI • Machine Learning • Blockchain • Crypto • Security
📋 Description
• Allora Labs’ mission is to commoditize all forms of intelligence. • Operating at the intelligence layer of the AI stack, we believe that building at the intersection of crypto and AI is the optimal path to achieving our mission. • We nurture our people just as much as our products, providing an environment where top talent can thrive at the intersection of crypto and AI. • We are looking for an ML Engineer for bootstrapping topics on Allora with models to fit a diverse array of use cases. • ML Engineers report to our Head of Engineering. • Engaging with open source data science communities to stay current with the latest innovations and establish Allora Labs as a data science thought leader.
🎯 Requirements
• 3+ years building and deploying ML models to production in a commercial setting • 5+ years Python programming experience, particularly on the data science stack • 5+ years SQL • Strong statistical skills and scientific mindset • Experience working with complex datasets • Experience monitoring ML models and creating automated pipelines • Experience building modular, extensible and reusable ML frameworks • Strong English communication and documentation skills • Team player with a collaborative mindset • Technical degree in engineering, computer science, or equivalent (ML education is a plus) • Nice to Have: • Contributions to prominent open source ML-related projects • Previous web3 experience • A notable following or status in data science communities
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