Machine Learning Engineer

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

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Job description

A world-leading company providing one of the largest on-demand content creation networks available world-wide is looking for a Machine Learning Engineer. The selected candidate will be in charge of deploying Stable Diffusion models, ensuring an optimal performance in the production environment. The company’s goal is to give people access to pre-vetted content creators such as photographers, editors, etc. in a very short notice. This is a full-time position that requires a 4-hour overlap with the Colombia time zone (GMT-5). 


Job Responsibilities:

  • Implement machine learning algorithms focusing on Stable diffusion models, and deploy them efficiently
  • Write code that is clean, easy to understand and maintain
  • Collaborate with cross-functional teams to create integrations for the product

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a Machine Learning Engineer
  • 4+ years of experience with Python development
  • Proficiency with machine learning frameworks such as PyTorch
  • Strong experience with Stable Diffusion models and their subsequent deployment
  • Deep understanding of the latest ML and AI technologies 
  • Excellent problem-solving and communication skills
  • Solid experience working with ML image models
  • Strong English communication skills

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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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