Apprentice Engineer - Artificial Intelligence / Machine Learning

LinkedIn is offering an exciting opportunity through their REACH apprenticeship program, designed to create pathways into engineering careers for individuals from non-traditional backgrounds. This AI/Machine Learning apprenticeship position is part of a multi-year program where passionate individuals can develop their engineering skills while working on impactful technical projects.

The role is specifically focused on artificial intelligence and machine learning engineering, where apprentices will work on developing cutting-edge ML models that serve LinkedIn's 740+ million members. The program is particularly well-suited for candidates with strong quantitative and problem-solving skills, regardless of how they acquired these abilities - whether through analytics work, social science research, or even sports statistics analysis.

What makes this opportunity unique is its emphasis on learning and growth. Apprentices are guaranteed dedicated time for personal technical development, with access to both LinkedIn's internal resources and external educational opportunities. The program length is flexible (1-5 years) to accommodate different learning curves and incoming skill levels.

The position offers competitive compensation ($82,000-$109,000/year) and follows a hybrid work model, combining remote work with in-office collaboration. LinkedIn's commitment to creating economic opportunity extends to their own workforce, fostering a culture built on trust, care, inclusion, and fun.

This role is ideal for career switchers, self-taught programmers, bootcamp graduates, or anyone with a quantitative mindset looking to break into AI/ML engineering. While technical skills are important, LinkedIn emphasizes the value of unique perspectives and creative approaches to problem-solving. The role offers extensive mentorship from experienced engineers and the opportunity to work on meaningful projects that impact millions of users.

Note that this position requires authorization to work in the US and is not eligible for visa sponsorship. Candidates should be prepared to demonstrate their problem-solving abilities and passion for AI/ML through their application, as LinkedIn evaluates candidates holistically beyond just their technical skills.