Machine Learning Engineer

Industry: Technology
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

A multinational company that is on a mission to power technology and help humans advance to new heights is looking for a Machine Learning Engineer. The engineer will be responsible for providing a solid foundation to build and iterate user-focused products. The NYSE-listed company is powering transformation with the server, storage, computer, hardware, and network solutions. This is an amazing opportunity for developers who enjoy working with a team of professionals and advancing their careers. 

 

Job Responsibilities:

  • Carry out regular code reviews on contributions to the codebase
  • Participate in standup meetings and pointing discussions 
  • Work across cross-functional teams to perform technical analysis with internal clients, project managers, and software engineers
  • Handle complex queries related to bugs or new feature implementation plans

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a software engineer
  • Extensive experience in Python and Docker
  • Prolific experience in Kubernetes
  • Nice to have experience in SQL
  • Experience in Java or C# is a plus
  • Solid understanding of the basics of Object Oriented Programming (OOP) 
  • Fluent in verbal and written English 


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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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