Artificial Intelligence/ Machine Learning (AI / ML) Engineers at LinkedIn develop cutting-edge machine learning models impacting millions of members. The  AI /ML track may be a good fit for you if you have strong quantitative, analytical and problem-solving skills, regardless of the areas in which you developed them or applied them. 

There are endless possibilities for the experiences that have prepared you for this apprenticeship. For example, you might be someone: 

  • Working in analytics or software engineering who has been wanting to switch to artificial intelligence/ machine learning.

  • With a background in social science who has applied quantitative methods in that arena .

  • Whose hobby is thinking about improvements to sports statistics like expected goals, home runs, or team rankings. 

Explore Artificial Intelligence/ Machine Learning Further!

Apprenticeship Details Application Questions How To Apply FAQ

As an  Apprentice Engineer, you will be placed on an Artificial Intelligence/ Machine Learning engineering team at LinkedIn developing cutting-edge machine learning models that serve millions of members. You will learn from fellow engineers and leaders, and develop key skills applicable to a career in Artificial Intelligence/ Machine Learning. Furthermore, apprentices are given a percentage of time to focus on their personal technical development, using both LinkedIn’s internal ecosystem and external educational opportunities. The time in program is a one year minimum and a five year maximum in the apprenticeship. 

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

This role is hybrid and will be based out of our Mountain View, CA office.

This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future. 

Job Responsibilities: 

  • Contribute a unique perspective and creative approach to solving problems at LinkedIn
  • Continue to learn and develop artificial intelligence/ machine learning skills
  • Under the mentorship and guidance of seasoned LinkedIn 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 or inform business decision making, and deliver with an appropriate amount of urgency and quality
  • Develop machine learning models that will serve our 740 million members on LinkedIn.com

Basic Qualifications: 

  • An undergraduate or graduate degree (bachelor’s, master’s or doctorate) in any field
  • Demonstrated history of independent problem solving, data-driven thinking, and quantitative skills. These skills may have been gained or demonstrated as part of a degree program or prior work experience.  These do not have to be in a technology setting, but rather any situation in which you used math and code to help drive decisions or outcomes.
  • Demonstrated history of Artificial Intelligence/ Machine Learning 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
    • Analytical, mathematical, or statistical work as part of a job or research

 

Preferred Qualifications: 

  • Understanding of CS basic concepts: variables, recursion, algorithms, data structures, object orientation, error handling, etc. Knowing these will make it easier for you to learn more complex software topics
  • Basic knowledge of common machine learning techniques such as regression, clustering, and tree-based methods
  • Compelling desire to have a career in Artificial Intelligence/ Machine Learning and a strong passion for the subject
  • Excellent collaborative and communication skills, and 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 fields of AI and Machine Learning