Job Responsibilities: 

  • Contribute a unique perspective and creative approach to solving problems at LinkedIn.

  • Continue to learn and develop machine learning skills. 

  • Under guidance from experienced engineers, produce high-quality software that is tested, code reviewed, and checked in regularly for continuous integration.

  • Solve difficult problems with machine learning, write code to put those solutions into production, and deliver with an appropriate amount of urgency and quality. 

  • Develop machine learning models serving multi-tier scalable, high-volume, performant, and reliable user-centric applications that operate 24x7. 

Basic Qualifications: 

  • Demonstrated history of independent problem solving, algorithmic thinking, and quantitative skills. These skills may have been gained or demonstrated as part of a degree program or prior work experience.

  • Demonstrated history of AI-related projects. There is a wide range of examples that will qualify, including but not limited to:

    • Open-source contributions

    • Personal analytics or machine learning projects

    • Analytics or statistics work as part of a job or research

  • An undergraduate or graduate degree (bachelor’s, master’s or doctorate) in any field.

Preferred Qualifications: 

  • Understanding of CS basic concepts: variables, recursion, algorithms, data structures, etc. 

  • Basic knowledge of common machine learning techniques such as regression, clustering, and tree-based methods

  • Linux operating system fundamentals: scripting, pipes, and automation 

  • Compelling desire to have a career in AI and a strong passion for the subject

  • Strong collaborative skills

  • Ability to clearly articulate your perspective 

  • Entrepreneurial mindset to bring in a new and unique perspective to the team 

  • Desire to learn and develop skills in the field of AI and machine learning