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 people who want to build for the future of web3. You’ll be building customer-facing products that help shape the way intellectual property is processed and handled.
Responsibilities
- 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.
- Mentor software engineers while serving as technical lead, contributing to and directing the execution of complex project
Requirements
- 5+ years working as a machine learning engineer or researcher.
- Experience managing model deployment pipelines on cloud services like AWS.
- Familiarity with state-of-the-art deep learning models across computer vision and natural language processing.
- Proficiency in Python, and PyTorch.
Exceptional candidates also have
- Experience with web3 tooling
- B2B software design experience
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 Model deployment NLP Pipelines Python PyTorch
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Unlimited paid time off
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