Machine Learning Engineer

Industry: Artificial Intelligence
Company size: 1-10

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Job description

A fast-scaling U.S.-based Artificial Intelligence platform that provides end-to-end machine learning advice and technical development services, is looking for a Machine Learning Engineer. The selected candidate will lend their support and expertise toward building the company’s AI-based voice cloning application. The company helps businesses utilize their AI potential by providing consultation services, implementing AI solutions, and helping them set up the AI runway from the ground up. This is a great opportunity for engineers who like working autonomously and are looking for a challenging role.

Job Responsibilities:

  • Conduct research and experimentation on the company voice cloning app
  • Understand consumer needs and lend your expertise to create a responsive consumer app 
  • Translate raw unstructured data into useful, structured information 
  • Collaborate with internal stakeholders to understand company goals and create project roadmaps 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Machine Learning Engineer
  • Experience and expert-level understanding of audio data and artificial neural networks
  • Proficiency with voice cloning/audio machine learning 
  • Formal education in Machine Learning, Shipped Models, Pytorch, Python, and Publications would be a plus
  • Great English communication 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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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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