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 passionate about AI and Machine Learning engineering. This role is part of LinkedIn's initiative to create opportunities for talent from non-traditional backgrounds to enter the tech industry.
The REACH program is a multi-year apprenticeship (1-5 years) designed specifically for candidates with non-traditional career paths, including self-taught programmers, career switchers, bootcamp graduates, and those re-entering the workforce. As an AI/ML Apprentice Engineer, you'll be integrated into LinkedIn's engineering teams working on cutting-edge machine learning models that impact millions of users.
The role combines hands-on practical experience with dedicated learning time. You'll work alongside experienced engineers while having guaranteed time for personal technical development using both LinkedIn's internal resources and external educational opportunities. The position offers a competitive salary range of $82,000-$109,000 per year.
Key aspects of the role include:
- Developing and implementing machine learning models for LinkedIn's 740M+ member base
- Writing production-quality code with proper testing and review processes
- Solving complex problems using ML techniques like regression, clustering, and tree-based methods
- Contributing unique perspectives to technical solutions
- Continuous learning and skill development in AI/ML
The ideal candidate should have strong quantitative and problem-solving abilities, regardless of how these skills were acquired. Whether you're coming from analytics, social sciences, or even sports statistics, what matters is your demonstrated ability to think quantitatively and solve problems programmatically.
This hybrid role offers flexibility to work both from home and from LinkedIn's office, with specific schedules based on team needs. The position is based in Mountain View, CA, and requires authorization to work in the US without visa sponsorship.
Join LinkedIn's mission to create economic opportunity for every member of the global workforce while building your career in AI/ML engineering through structured mentorship and hands-on experience.
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
- Entrepreneurial mindset
