Machine Learning Engineer

Industry: Education
Company size: 1-10

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Job description

A VC-backed company committed to eliminating the language barriers of working with global remote teams is looking for a Machine Learning Engineer. The engineer will be responsible for building excellent machine learning modules using computer science fundamentals: data structures, algorithms, programming languages, and many more. The company’s platform offers several benefits for freelancers and provides guidance through each conversation until a great job offer is achieved. This will be a full-time opportunity and requires some overlap with the Eastern/Pacific time zones.


Job Responsibilities:

  • Deploy machine learning models to end-users and run experiments
  • Build great ML models 
  • Collaborate efficiently with product management, technical program management, operations, and other engineers
  • Use a holistic, test-oriented approach to troubleshoot, debug and upgrade software

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
  • Be comfortable with data science and the engineering required to bring your models to production
  • Prolific skills in Python, AWS, SQL & NoSQL databases, and CI/CD
  • Firm grasp over the design and construction of REST APIs
  • Strong communication skills
  • Good Spanish speaking skills is a plus
  • Proficiency in FLStudio is nice to have

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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.

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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