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We're looking for experienced AI practitioners to architect and deploy models on large-scale Web3 datasets. You'll be working with a team of specialists to rapidly scale fraud detection infrastructure and set a new standard for intellectual property rights.

Responsibilities

• Coordinate a team of machine learning engineers while serving as technical lead, contributing to and directing the execution of complex projects.
• Train and deploy deep learning models to power Yakoas intellectual property tracing capabilities.
• Own the implementation of capabilities by taking responsibility from inception to deployment.
• Uphold our high engineering standards by bringing consistency and repeatability to the training, evaluation, and deployment processes.

Requirements

• 7+ years working as a machine learning engineer or researcher, with successful product deployments or relevant publications in the field.
• Experience managing MLOps environments like Weights & Biases on large-scale deployments.
• Experience in machine learning subfields such as computer vision, natural language processing, and graph neural networks.
• Proficiency in C++, Python, and PyTorch.

Exceptional candidates also have

• Experience with specialized machine learning infrastructure including TPUs and AWS Inferentia.
• Familiarity with Web3 tooling.

Benefits

• Unlimited PTO.
• Competitive compensation packages.
• Remote friendly & flexible hours.
• Wellness packages for mental and physical health.
• No crypto or Web3 experience? No problem! Well help coach you and cover any costs for educational materials for your growth.