Apprentice Engineer - Artificial Intelligence / Machine Learning
Description For Apprentice Engineer - Artificial Intelligence / Machine Learning
LinkedIn is offering an exciting opportunity through their REACH apprenticeship program for individuals looking to start or transition into a career in AI/Machine Learning engineering. This role, based in Mountain View, CA, is part of a multi-year program designed to create opportunities for talented individuals regardless of their educational or professional background.
The position offers a competitive salary range of $82,000 to $109,000 per year and follows a hybrid work model, combining remote work with office presence. 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.
What makes this role unique is its focus on non-traditional career paths. LinkedIn actively encourages applications from self-taught programmers, career switchers, bootcamp graduates, and those re-entering the workforce. The program length varies from 1-5 years, depending on your incoming skill set and progress.
Your responsibilities will include developing and implementing machine learning models, writing production-quality code, and contributing to LinkedIn's AI initiatives. You'll work under the mentorship of experienced engineers while having dedicated time for personal technical development through both internal and external learning resources.
The ideal candidate should demonstrate strong quantitative and problem-solving skills, regardless of how they acquired them. Whether you're coming from analytics, social sciences, or even sports statistics, what matters is your ability to think analytically and your passion for AI/ML.
LinkedIn offers a supportive learning environment with regular code reviews, mentorship, and continuous integration practices. The company's commitment to creating economic opportunity for every member of the global workforce extends to its own employees, making this an ideal opportunity for those looking to break into the tech industry through a structured, supportive program.
The role requires no prior professional software engineering experience but expects candidates to have some demonstrated history with AI/ML projects, whether through personal projects, open-source contributions, or analytical work. This position is perfect for those who want to combine their quantitative skills with machine learning to solve real-world problems at scale.
Responsibilities For Apprentice Engineer - Artificial Intelligence / Machine Learning
- Contribute a unique perspective and creative approach to solving problems at LinkedIn
- Continue to learn and develop artificial intelligence/machine learning skills
- 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
- Develop machine learning models that will serve 740 million members on LinkedIn
Requirements For Apprentice Engineer - Artificial Intelligence / Machine Learning
- 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
- Demonstrated history of Artificial Intelligence/Machine Learning related projects
- Understanding of CS concepts: variables, recursion, algorithms, data structures, object orientation, error handling
- Knowledge of common machine learning techniques such as regression, clustering, and tree-based methods
- Excellent collaborative and communication skills
Benefits For Apprentice Engineer - Artificial Intelligence / Machine Learning
- Percentage of time dedicated to personal technical development
- Access to LinkedIn's internal ecosystem and external educational opportunities
- Mentorship and guidance from seasoned LinkedIn engineers
