NLP PeopleAbout this role
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun where everyone can succeed.
This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future. 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.
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. Apprentices are guaranteed a percentage of time to focus on their personal technical development, using both LinkedIn’s internal ecosystem and external educational opportunities.
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.
Qualifications
An undergraduate or graduate degree (bachelor’s, master’s or doctorate) in any fieldDemonstrated 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.Preferred Qualifications
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.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.Suggested Skills
Statistical AnalysisMachine LearningCoding in Programming/scripting languagesCritical ThinkingCompensation
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $82,000 to $109,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
Application Process
Click “I’m interested” to fill out the initial application form. After you apply, you’ll receive an email with a link to our essay application questions. You’ll have until the application deadline to submit your responses. Our application process is designed to give individuals the opportunity to show us a range of qualities we believe will make them successful engineers. This includes their drive and ability to learn, tenacity and work ethic, unique perspective and passion for engineering. As part of the application process, individuals are required to submit responses to the application questions and responses will be reviewed for completeness as well as content.
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
Reasonable Accommodations
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific accommodation requested for a disability-related limitation.
Company:
NLP PEOPLE
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying