Data Boost For Engineers & Engineering Managers
After Chetan gave a talk at TOA Berlin about this topics, he sums up his ideas about improving developing habits and using readily-available data to extract findings from code.
The hiring process is broken. Anyone who has applied for a job knows that. Three years ago, we started thinking about how technology could transform the way people hire and get hired. Today, our technology is setting new standards for how machine learning fuels this process.
Relink is a Nordic, VC backed, technology startup transforming how people identify their next job or employee.
Think about it! The whole process of matching people with jobs is just not optimal. Over centuries of socialisation, this process has been optimised into people making manual connections between pieces of text: a job description, a profile and a job application.
The mere limitations of human data processing capabilities are a major showstopper. Let's face it, a human cannot read through millions of documents in seconds.
At Relink we use machine learning algorithms to optimise the process of initial matchmaking. Looking at millions of different events, our recommendation engine is constantly improving its understanding of what a good match actually is. Just like Netflix recommending movies based on your preferences, our technology recommends people to jobs, and jobs to people. We deliver this technology as a service.
Our mission is to transform the way people are matched to jobs. We do this by developing and constantly training machine learning algorithms to understand what a good match between a profile and a job actually is.
Being a "data first company," data science is in the front seat of all product development processes. At the core is our recommendation engine. Built on bleeding-edge technologies, it is constantly being trained on data streaming in from partners all over the globe.
Our technology is distributed as a service via APIs, giving our customers AI-fueled recommendation capabilities right into their systems. We help our customers all the way from integration to production and operations.
We love people who get passionate about who we are and what we do.
Every day we experiment with the boundaries of how machine learning systems can assist, and even replace, human interaction. We are already seeing huge benefits of applying these technologies to help jobs and candidates find each other. At the same time, we are also conscious about the threats related to machine intelligence.
If you are curious, excited, skeptical, or just plain negative, we would love to discuss and share our thoughts with you.
Want to be kept in the loop? Drop us your email address below. No spam - promise.
Ståle Fredlund Husby
CEO & co-founder
(+45) 22 51 27 61
Get in touch and we will set up at customized introduction to our APIs and what you can do with them.