Full-Stack/Machine Learning Engineer

Industry: Other
Remote
Company size: 1-10
Full-time
Not disclosed

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Job description

A fast-scaling company creating products to help makers and manufacturers acquire customers and plan supply chains is looking for a Full-Stack/Machine Learning Engineer. The selected candidate must understand the company’s business model and constructively provide input and insight. The company is leveraging the power of revolutionary AI technology to run businesses autonomously and rearrange atoms to serve individuals, businesses, and communities better. The developer will be working directly with the finance department and will be in a full-time, long-term position. 

 

Job Responsibilities:

  • Integrate their internal revenue and finance system with various diverse systems (lots of API work)
  • Build dashboards to reflect above mentioned items
  • Recommend different solutions and implementations
  • Carry out some ETL work
  • Work with existing Machine Learning teams to build AI-driven products

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a full-stack or ML engineer
  • Demonstrable experience and knowledge of Machine Learning technologies
  • Extensive experience working with Ruby, JavaScript/TypeScript, and Python
  • Prior finance or fintech experience is nice to have
  • Prior startup / CTO experience is a huge plus 
  • Some interest or experience in Crypto is desirable
  • Ability to look at the bigger picture and execute critical tasks
  • Good problem solving and communicator skills

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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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