Lead Machine Learning Engineer

Industry: Technology
Company size: 11-50

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Job description

A Silicon Valley-based company that is developing world-class software that enables users to create drag-and-drop games, is looking for a Lead Machine Learning Engineer. The engineer will be in charge of improving the software engineering practices of the organization while mentoring junior engineers. The company is committed to creating software tools that enable game developers to create games without any prior programming knowledge. This is an amazing opportunity for developers to make their mark in the industry and build lasting technology products. 


Job Responsibilities:

  • Build and implement machine learning models that assist the company's products and services
  • Troubleshoot production issues affecting different services and stack levels
  • Engage in knowledge-sharing sessions on deploying machine learning and industry best practices
  • Recognize a problem statement, and use analytical remedies and methods to resolve them while demonstrating proactive thought leadership

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
  • Demonstrable experience with Data Engineering and Machine Learning technologies
  • Prolific experience working with DevOps
  • Great leadership and collaboration skills
  • Fluent in English, both written and spoken

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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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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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