Remote ML/NLP engineer jobs

We, at Turing, are looking for ML/NLP engineers who will make use of NLP techniques, ML algorithms, statistical analysis, and text representation techniques to help extract valuable information from large datasets. Here's your chance to accelerate your career while working with top U.S. companies.

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Job description

Job responsibilities

  • Define appropriate datasets for training the model and evaluating test results
  • Define validation strategies, and deploy data models
  • Train data models and fine-tune their hyperparameters
  • Define appropriate datasets for training the model and evaluating test results
  • Define validation strategies, and deploy data models
  • Train data models and fine-tune their hyperparameters
  • Perform statistical analysis, and refine models
  • Extend and maintain ML libraries and frameworks

Minimum requirements

  • Bachelor’s/Master’s degree in computer science (or equivalent experience)
  • 3+ years of experience as an ML/NLP engineer (rare exceptions for skilled devs)
  • Experience in text representation techniques, statistics, classification algos
  • Bachelor’s/Master’s degree in computer science (or equivalent experience)
  • 3+ years of experience as an ML/NLP engineer (rare exceptions for skilled devs)
  • Experience in text representation techniques, statistics, classification algos
  • Proficiency in programming languages such as Python, Java, etc.
  • Experience with ML frameworks (Keras or PyTorch) & libraries (Scikit-learn, NLTK)
  • Fluency in the English language to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of source control systems (Git, merging, branching)
  • Ability to handle large unstructured data sets and perform data analysis
  • Experience in Unix/Linux including basic commands and scripting
  • Knowledge of source control systems (Git, merging, branching)
  • Ability to handle large unstructured data sets and perform data analysis
  • Experience in Unix/Linux including basic commands and scripting
  • Experience working with machine learning frameworks and libraries
  • Familiarity with Big Data frameworks such as Spark, Hadoop, etc.
  • Experience with clustering, syntactic parsing, semantic parsing
  • Working knowledge of CI/CD pipelines

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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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