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Senior Machine Learning Engineer

Industry: Technology
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A U.S.-based company that is developing a blockchain platform with robust web3 APIs to facilitate the creation of NFTs while interacting with their communities, is looking for a Senior Machine Learning Engineer. The engineer will be responsible for transforming data science prototypes while using the proper ML tools and methods. The company is currently developing a unique platform to help users understand and solve specific problems faced by their community. The company has managed to successfully secure $4.6mn+ during their Seed round of funding. 

 

Job Responsibilities:

  • Utilize cutting-edge tools like DBT, Dagster, and others to bring data from multiple external sources
  • Create machine learning algorithms that examine vast amounts of historical data and make predictions
  • Run tests, do statistical analysis, and translate test outcomes
  • Build and develop self-running AI software and machine learning systems to automate prediction models

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a software engineer
  • Demonstrable experience working extensively with Machine Learning technologies
  • Solid understanding of Dagster, DBT, etc.
  • Familiarity with Airflow is nice to have
  • Excellent conversational and written English 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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