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Machine Learning Engineer

Industry: Pharma
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

An NYSE-listed company that has revolutionized the pharmaceutical industry with their innovative healthcare products and research services, is looking for a Machine Learning Engineer. The engineer will be in charge of training, monitoring, and analyzing the performance of existing models. The company has been operating for over a century while manufacturing and distributing world-class pharmaceutical products. This is a nice opportunity for developers who are eager to work with a multinational company while working in a fast-paced environment. 

 

Job Responsibilities:

  • Collaborate and assist fellow developers, designers, and analysts to solve problems
  • Define and communicate technical and design requirements
  • Provide a high-quality user experience and overcome scalability issues 
  • Ensure that the completed projects meet and exceed campaign goals

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as an ML engineer
  • Extensive experience working with Machine Learning technologies
  • Exceptional team building and interpersonal skills
  • Fluent in spoken and written English communication

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Leadership

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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