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Internship Opportunity: LinkedIn Hiring Machine Learning Engineer

Internship opportunity by LinkedIn machine learning engineer.

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LinkedIn is a business and employment-focused social media platform that works through websites and mobile apps. It was launched on May 5, 2003. Since December 2016, it has been a wholly owned subsidiary of Microsoft. The platform is primarily used for professional networking and career development, and allows jobseekers to post their CVs and employers to post jobs. From 2015 most of the company’s revenue came from selling access to information about its members to recruiters and sales professionals. LinkedIn has more than 930 million registered members from over 200 countries and territories.


Machine Learning Engineer Intern


65K per month

To be eligible for the Machine Learning Engineer Intern Role at LinkedIn you must have the below eligibility criteria.

  • Currently pursuing a Bachelors Degree in Computer Science, IT, Electronics, Statistics, Mathematics, Machine Learning or Related technical fields.

Preferred Skills for Machine Learning Engineer Intern at LinkedIn are as follows:

  • Knowledge of one or more general purpose programming languages like Java/C++/Python/C.
  • Experience in one of the areas like Machine Learning, Deep learning, Natural Language Processing, Recommendation System, Computer Vision, etc.
  • Strong working knowledge of Deep learning frameworks like Tensorflow, etc.
  • Experience with Scala, Spark or other MapReduce paradigms.
  • Ability to execute and design on research agendas.

The Hiring Process for this Internship opportunity Machine Learning Engineer Intern at LinkedIn are as follows:

  • Resume Shortlisting.
  • Online Assessment (OA) Round of LinkedIn.
  • Technical Round.
  • HR Round.

The day to day role of Machine Learning Engineer Intern at LinkedIn are as follows:

  • Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions.
  • Write production quality code and influence the next generation of LinkedIn’s systems.
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To apply: https://www.linkedin.com/jobs/view/3733097260/

Also visit: noticedash.com

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