Connect to Opportunity
Our engineers develop innovative technologies at massive scale to create economic opportunity for every member of the global workforce. LinkedIn research engineers and data scientists have the opportunity to work with our rich, structured dataset to solve some of the hardest and most technical challenges in the industry. Our world class technology, data infrastructure and innovative culture give our technical talent the tools they need to truly transform their careers and make an impact in the world.
Every member of our team has the opportunity to transform themselves, the company and the world while they are at LinkedIn. Our engineering team combines deep technical excellence with a clear focus on helping the millions of people who use LinkedIn to become more productive and successful professionals.
We are looking for a driven and entrepreneurial engineering managers on our Enterprise Technologies team. You will play a pivotal role in defining our enterprise strategy for business processes, systems, applications, information and data. You will be results driven, leading teams to deliver software products at the highest levels of quality and craftsmanship.If you have a passion for working on platform and front end applications and are willing to learn from and inspire your team every day, this is the career opportunity for you. This position is full-time and based in our Sunnyvale offices.
Senior Software Engineer - Data Mining/Machine Learning
If you are an applied research engineer/scientist with a passion for working on massive semi-structured text and graph datasets, then the LinkedIn Data Team is the place for you. The ideal candidate will have domain experience (data mining, information retrieval, security data science, natural language processing, advanced statistics, and/or machine learning), a strong systems orientation, and experience in building data mining products. The work you put forth will directly impact and fuel LinkedIn’s search relevance, ad targeting, information extraction, and recommendations.
LinkedIn’s Analytics team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 500 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering and operation to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners.
SRE (Site Reliability Engineer)
Site Reliability Engineers (SRE) at LinkedIn fill the mission-critical role of ensuring that our complex, web-scale systems are healthy, monitored, automated, and designed to scale. You will use your background as an operations generalist to work closely with our development teams from the early stages of design all the way through identifying and resolving production issues. The ideal candidate will be passionate about an operations role that involves deep knowledge of both the application and the product, and he/she will also believe that automation is a key component to operating large-scale systems.