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Full-Stack / Machine Learning Engineer

Industry: Other
Remote
Company size: 1-10
Full-time

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Job description

A US-based multidisciplinary engineering company specializing in machine learning is looking for a Full-Stack/ML Engineer. The developer will work directly with the finance department - integrating their internal revenue and finance system with a variety of systems. The company invests in enterprises by deploying its autonomous AI machines while safeguarding businesses against capital risk. This will be a full-time, long-term role and an excellent opportunity for developers to rub shoulders with industry professionals. 

 

 Job Responsibilities:

  • Contribute extensively to API work
  • Build dashboards to reflect the integration of internal revenue and finance systems
  • Recommend different solutions and implementations to solve scalability issues
  • Efficiently deal with some ETL work

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 machine learning engineer
  • Extensive experience working with JavaScript, Python, and Typescript
  • Nice to have a solid understanding of Ruby
  • Prior finance or fintech experience is desirable
  • Nice to have an interest or experience in Crypto
  • Fluent in English communication
  • Great interpersonal skills

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Leadership

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.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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