Apprentice Engineer - Artificial Intelligence / Machine Learning
About The Position
Searching for your dream job? At LinkedIn, we have developed an apprenticeship program that creates opportunity for every individual with the passion, potential, and drive to either develop or restart their career in engineering. We fundamentally believe top talent can come from anywhere, regardless of educational training or professional experience. REACH is a multi-year program where individuals with passion for engineering will work in technical roles to build their skill set and gain the experience needed to become an Engineer at LinkedIn. The time each apprentice spends in this program will vary depending on their incoming skill set, experience, and progress through the program. The time in program is a one year minimum and a five year maximum in the apprenticeship. This program is designed for candidates who have non-traditional career paths and we strongly encourage those candidates to apply. This includes but is not limited to: candidates without Computer Science degrees who are self-taught, those that are re-entering the workforce, individuals switching careers, or those who have attended boot camp style courses focusing on machine learning or data science. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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 guaranteed a percentage of time to focus on their personal technical development, using both LinkedIn's internal ecosystem and external educational opportunities. Is Artificial Intelligence/ Machine Learning a good fit for me? You might be a good fit for this apprentice role if you have strong quantitative 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. You might be someone with a background in social science who has applied quantitative methods in that arena. You might be someone whose hobby is thinking about improvements to sports statistics like expected goals, home runs, or team rankings.
Requirements
- 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.
Nice To Haves
- 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
- Understanding of CS 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!
- Knowledge of common machine learning techniques such as regression, clustering, and tree-based methods
- 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 artificial intelligence/ machine learning
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
