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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
  • Design, develop, and maintain natural language processing (NLP) systems
  • Develop and integrate ML/NLP models into existing applications
  • Define appropriate datasets for training the model and evaluating test results
  • Design, develop, and maintain natural language processing (NLP) systems
  • Develop and integrate ML/NLP models into existing applications
  • Evaluate existing models to identify areas for improvement
  • Develop and maintain code for data analysis
  • Create software libraries and tools to facilitate model development

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 sentiment analysis, text classification, and 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 sentiment analysis, text classification, and classification algos
  • Proficiency in programming languages such as Python, Java, C++, etc.
  • Experience with machine learning (ML) tools and libraries such as NLTK, spaCy, Gensim, etc.
  • Familiarity with deep learning libraries and frameworks such as TensorFlow, Keras, PyTorch, etc.
  • Knowledge of natural language understanding (NLU) techniques and applications
  • Fluency in English 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)
  • Experience in Unix/Linux, including basic commands and scripting
  • Familiarity with big data frameworks such as Spark, Hadoop, etc
  • Knowledge of source control systems (Git, merging, branching)
  • Experience in Unix/Linux, including basic commands and scripting
  • Familiarity with big data frameworks such as Spark, Hadoop, etc
  • Experience with clustering, syntactic parsing, semantic parsing
  • Ability to communicate complex technical concepts to a non-technical audience
  • Ability to work independently and collaboratively in a team environment

Interested in this job?

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Frequently Asked Questions

Having the knowledge of data structures, semantic extraction, modeling, text representation like n-grams, sentiment analysis, bag of words, etc., is needed. You should be familiar with R, Java, Python and Machine Learning frameworks like PyTorch, Keras, along with the ability to write codes and design software architectures. If you are an expert in the skills mentioned above and want to work from the comfort of your home, sign up at Turing.

Having a thorough understanding of data structures, data modeling, and software architecture with the skill to write codes in Python, Java, and R is a must. It's vital to know Machine Learning frameworks like Keras or PyTorch and libraries like Scikit-learn.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

An NLP engineer's job is to design NLP applications and products, recognizing and using the right algorithms for particular NLP projects. They are responsible for executing statistical analysis of models, transforming Data Science prototypes, and various other tasks.

Yes, machine learning is a fulfilling career. The demand ML holds in the market amongst companies is commendable. Machine Learning enables engineers to determine various real-world problems encountered by predictive analysis. It is now more easier than ever to predict the victory or defeat of a product or a choice. If you are looking for a job as a Machine Learning engineer, explore exciting remote opportunities at Turing.com

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

An ML engineer's work deals with designing Machine Learning systems, studying and transforming Data Science prototypes, examining and executing the right ML algorithms and tools. Their responsibility is to select the correct datasets and data representation process, extend current ML libraries and framework and deal with other various tasks.

Machine Learning is an in-demand career these days. Machine Learning engineers ensure that the models adopted by Data Scientists can examine vast amounts of data in real-time for acquiring accurate results. It's poised to keep rising in the upcoming days as every organization looks to keep growing digitally. If you want to work remotely for the top U.S. companies with a well-paid salary, sign up on Turing.com.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

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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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