Machine Learning Engineer

Industry: Healthtech
Remote
Company size: 11-50
Full-time
Not disclosed

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Job description

A US-based SaaS physician AI Augmentation and Scribe system promoting accessible healthcare is looking for a Machine Learning Engineer. The selected candidate will be responsible for managing the complete software development life cycle and collaborating with different teams. The organization has been featured in notable publications like Healthcare Tech Outlook, Silicon Review, and Forbes, to name a few. This will be a long-term, full-time role that requires at least 4 hours of overlap with the PST time zone. 

 

Job Responsibilities:

  • Build state of the art machine learning models for generative data
  • Train, monitor, and analyze the performance of existing models
  • Manage the entire software development life cycle of the product - from design, development, deployment, testing, maintenance, and documentation
  • Collaborate with cross-functional teams to deliver high-quality products that meet the business needs
  • Define and improve the internal standards for style, maintainability, and best practices for a high-scale web environment

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
  • Must have knowledge of Python and NLP
  • Previous experience with a US-based startup is strongly preferred
  • Ability to complete the tasks autonomously
  • Strong 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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