Senior Machine Learning Engineer
San Jose, California, United States - Remote
Yakoa
Yakoa's AI searches for fraud across many blockchains to protect NFT consumers and defend the intellectual property of brands.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 Yakoa’s 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! We’ll help coach you and cover any costs for educational materials for your growth.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Vision Crypto Deep Learning Engineering Machine Learning ML infrastructure MLOps NLP Python PyTorch Weights & Biases
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Unlimited paid time off
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