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Remote AI/ML engineer jobs

We, at Turing, are looking for AI/ML engineers who have experience working on multiple ranges of classification, prediction, and optimization problems. The position will involve optimizing existing machine learning systems, resolving data set problems using statistical analysis, and building predictive models to power AI-based applications.

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Job description

Job responsibilities

  • Enhance performance of current AI software; optimize existing ML libraries & framework
  • Design an effective roadmap & manage overall project lifecycle as per requirement
  • Perform statistical analysis to solve complex data-set problems
  • Enhance performance of current AI software; optimize existing ML libraries & framework
  • Design an effective roadmap & manage overall project lifecycle as per requirement
  • Perform statistical analysis to solve complex data-set problems
  • Train and test machine learning programs
  • Design and develop highly scalable deep learning systems using AI & ML principles
  • Communicate technical details well by influencing the technical aspects of the projects
  • Continuously integrate and ship code into the cloud environment
  • Collaborate with product managers to produce wire-frame mock-up

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience in either: AI, ML, Deep Learning or Natural Language Processing (exceptions for highly skilled devs)
  • Proficiency in one or more programming languages such as Python, Java, etc.
  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience in either: AI, ML, Deep Learning or Natural Language Processing (exceptions for highly skilled devs)
  • Proficiency in one or more programming languages such as Python, Java, etc.
  • Experience in concepts like un/supervised learning, database modeling, etc.
  • Fluency in English to collaborate with engineering managers
  • The ability to work full-time (40 hours/week) with a 4 hour overlap with U.S. time zones

Preferred skills

  • Command over complex code bases, large systems & version control systems like Git
  • Perceptive of ML libraries, predictive modeling, pattern recognition, data mining, etc.
  • Knowledge of common data science toolkits like NumPy, Pandas, Matplotlib, NLTK, etc.
  • Command over complex code bases, large systems & version control systems like Git
  • Perceptive of ML libraries, predictive modeling, pattern recognition, data mining, etc.
  • Knowledge of common data science toolkits like NumPy, Pandas, Matplotlib, NLTK, etc.
  • Experience with programming languages such as R, MATLAB, etc.
  • Experience with machine learning frameworks (like Keras or PyTorch)
  • Proficiency in applied statistics: regression, distributions, statistical testing, etc.
  • Deep understanding of Artificial Neural Networks and Deep Learning Frameworks
  • Good command over algorithms, data structures, & computer science fundamentals

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Frequently Asked Questions

AI engineers work on developing, programming, and training the intricate networks of algorithms that form up AI to operate as a human mind. Their work entails solid expertise in multiple fields ranging from development, programming, data science, or data engineering. If you're an Artificial Intelligence engineer looking for a high-paying remote job, sign up on Turing.

To become a Machine Learning engineer several things need to be present, like your educational background and technical skills. The familiarity with various programming languages like C++, Python, R, SQL, and Java, understanding the fundamentals of Data science and tools like Spark, Hadoop, and more. Most importantly, work on a project to apply the knowledge you hold. Sign up on Turing.com to land job offers as a Machine Learning engineer at top U.S. companies.

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.

In order to become an AI engineer, it's vital to know programming languages such as Spark and Big data technologies, algorithms and frameworks, and a plethora of tasks. Also, acquiring a certification course in Data Science, Machine learning, or Artificial Intelligence would be a plus. Visit Turing.com, pass the test, and get a job offer as an AI engineer amongst the top U.S. companies.

Machine Learning drives business outcomes that can dramatically transform a company's bottom line. The position is profitable because people with ML skills are high in demand and have low supply. With a background in ML, you can get a well-paid job as an ML engineer. Get yourself a job in the best organization if you are an ML engineer by taking a test at Turing, checkout the exciting opportunities for remote engineers worldwide.

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.

Machine Learning engineers investigate and design self-operating Artificial Intelligence systems to automate imminent models. Their work is to convert Data science prototypes, perform statistical analysis, design and implement ML algorithms and tools, and other surplus tasks. If you are an ML engineer and still haven't found the company you are looking for, try Turing and work from anywhere.

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.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your 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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