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Remote machine learning engineer jobs in 2022

We, at Turing, are looking for talented machine learning engineers who can build the most optimized product features applying high-end ML modeling techniques. Join forces with the top 1% of ML engineers and grow with the best minds.

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Check out the best jobs for September 2022here

Job description

Job responsibilities

  • Building back-end infrastructure, data pipelines, and/or machine learning models for our AI-backed product
  • Build working ranking models and automate modeling pipelines
  • Implement new features solving complex data management problems
  • Building back-end infrastructure, data pipelines, and/or machine learning models for our AI-backed product
  • Build working ranking models and automate modeling pipelines
  • Implement new features solving complex data management problems
  • Deploy machine learning models to end-users and run experiments
  • Build great ML models using computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering, IT, or relevant field
  • 2+ years of experience in engineering and ML methods
  • In-depth understanding of applied machine learning algorithms, especially NLP, and statistics
  • Bachelor’s/Master’s degree in Computer Science, Engineering, IT, or relevant field
  • 2+ years of experience in engineering and ML methods
  • In-depth understanding of applied machine learning algorithms, especially NLP, and statistics
  • Comfortable with data science as well as with the engineering required to bring your models to production
  • Experience in deploying models and algorithms in production
  • Experience with both SQL and NoSQL databases
  • Proficiency in Python programming
  • Good testing skills

Preferred skills

  • Experience with CI/CD (Jenkins in particular), DVC, model monitoring tools, MLOps in general
  • Knowledge of ML techniques: deep learning, reinforcement learning, classification, pattern recognition, etc.
  • Knowledge of recommendation systems, targeting systems, ranking systems, or similar techniques
  • Experience with CI/CD (Jenkins in particular), DVC, model monitoring tools, MLOps in general
  • Knowledge of ML techniques: deep learning, reinforcement learning, classification, pattern recognition, etc.
  • Knowledge of recommendation systems, targeting systems, ranking systems, or similar techniques

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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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