Machine Learning Engineer

Industry: Technology
Company size: 1-10

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Job description

A fast-scaling startup that is building a two-way audio application powered by artificial intelligence, is looking for a Machine Learning Engineer to join their team. The selected candidate will scope out and take ownership of deep learning and machine learning projects, build predictive models, and automate engineering processes. The company is leveraging AI to generate real personas and responses with human-like voice and tone-inflection accuracy. This is a great opportunity for engineers who want to work independently, as well as make significant contributions to project and team building. 


Job Responsibilities:

  • Effectively communicate and collaborate with internal teams to understand business requirements
  • Create project roadmaps and take ownership of ML projects 
  • Build smart systems that can analyze and understand complex raw data to generate predictive models
  • Assess, organize, analyze data, and execute tests to develop highly-performant ML models

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
  • Strong understanding of voice and audio data, as well as two-way audio generation
  • Prolific experience working with modern Machine Learning and Artificial Intelligence technologies
  • Great command over spoken and written English communication

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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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