Apprentice Engineer - Artificial Intelligence / Machine Learning

LinkedIn, the world's largest professional network, is offering an exciting apprenticeship opportunity through their REACH program for aspiring AI/ML engineers. This multi-year program (1-5 years) is specifically designed for individuals from non-traditional backgrounds who want to transition into engineering roles.

The position is based in Mountain View, CA with a hybrid work arrangement, offering a competitive salary range of $82,000-$109,000 per year. As an Apprentice Engineer in AI/ML, you'll be working on developing cutting-edge machine learning models that serve LinkedIn's 740+ million members.

This role is perfect for candidates with strong quantitative and problem-solving skills, regardless of their educational background. Whether you're coming from analytics, software engineering, social sciences, or even sports statistics, what matters most is your demonstrated ability to think quantitatively and solve problems creatively.

Key responsibilities include developing and implementing machine learning models, writing production-quality code, and contributing unique perspectives to problem-solving at LinkedIn. You'll work under the mentorship of experienced engineers while having dedicated time for personal technical development.

The ideal candidate should have a degree in any field, demonstrated experience with AI/ML projects (through open-source contributions, personal projects, or work experience), and understanding of core CS concepts. Knowledge of machine learning techniques like regression, clustering, and tree-based methods is preferred.

What makes this opportunity unique is LinkedIn's commitment to creating pathways for non-traditional candidates. The REACH program provides comprehensive support, mentorship, and learning opportunities, making it an ideal launching pad for those looking to build a career in AI/ML engineering.

The role offers the flexibility of hybrid work, allowing you to work both from home and from LinkedIn's office. While the position requires no specific years of experience, candidates must be authorized to work in the US without visa sponsorship.

Join LinkedIn to be part of a culture built on trust, care, inclusion, and fun – where everyone can succeed while working on technology that impacts millions of professionals worldwide.