Machine Learning Engineer

Industry: FinTech
Company size: 51-250

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Job description

A US-based banking platform that enables businesses to provide financial services and solutions to customers, is looking for a Machine Learning Engineer. The engineer will be required to don multiple hats and contribute to cross-functional tasks like reviewing the existing architecture and proposing changes as necessary. The company's cutting-edge technology enables developers to build and launch market-ready credit, deposit, and crypto products in a matter of weeks. During their Series B round of funding, the company raised over $50 mn. This will be a long-term, full-time role requiring some overlap with the PST time zone.


Job Responsibilities:

  • Build effective and scalable data pipeline
  • Help build and maintain ML models
  • Perform code reviews and architect new systems
  • Mentor other team members and guide them on implementing industry best practices

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a machine learning engineer
  • Prolific skills with Python, Pytorch, and Tensorflow 
  • Extensive experience working with MongoDB, Redis, ElasticCache, and AWS
  • Nice to have some experience with fintech, risk, credit, and crypto products
  • Fluent in written and spoken English

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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