Lead Machine Learning Engineer

Industry: Technology
Company size: 1-10

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Job description

A fast-growing company that is building an innovative platform that provides automated transaction management services to realtors, is looking for a Lead Machine Learning Engineer. The engineer will be responsible for constantly bringing new ideas to the table while learning from peers. The company is developing a state-of-the-art all-in-one tool to help realtors perform better and make rapid progress. This is an exciting opportunity for developers who are eager to work in a workplace that values quick iterations and constructive criticism. 


Job Responsibilities:

  • Document every machine learning engineering development in detail and accurately
  • Work on implementing the latest deep learning and machine learning models
  • Debug and update current code to make it scalable and perform better
  • Utilizing machine learning and AI technologies, manage client expectations and adopt an agile mindset

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a software engineer
  • Extensive experience working with Machine Learning and related technologies
  • Demonstrable team leadership and management skills
  • Exceptional analytical and problem-solving skills
  • Fluent in conversational 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.

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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