Machine Learning Engineer

San Jose, California, United States - Remote

Applications have closed

Yakoa

Yakoa's AI searches for fraud across many blockchains to protect NFT consumers and defend the intellectual property of brands.

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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

Regions: Remote/Anywhere North America
Country: United States
Job stats:  23  3  0

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