Sinch brings businesses and people closer though APIs and web services. We are a leading global Communication Platform as a Service (CPaaS) provider, offering messaging, voice and video communication solutions to a large global customer base. Our APIs and the platform deal with over 40 billion engagements annually. So how do we use machine learning and AI? Well the short answer to that question is: in any way it can provide value for our customers! We use Machine Learning (ML) to optimize our platform and to help our customers gain insights about their consumers, we use Natural Language Processing (NLP) to power some of the mobile messaging services we offer.
This is just the beginning. We can do lots more and we need highly skilled full stack developers to bring these algorithms to our customers!
The essence of the roleThink of this team as Sinch's Machine Learning incubation engine! We are determined to learn more from our data to provide even better services, products and insights to our customers. This is where we first try out crazy new ideas on how to use ML to solve the real life problems we see. When we have done an initial prototype we hand over the projects to other teams in the organization - that means your role also includes setting up environments, deploy pipelines and train other teams. This is a new team, currently made up of 13 Machine Learning engineers, 4 Full-stack Developers and led by our Director of Engineering in Machine Learning and AI. But when we say "led by", that doesn't mean you will be told what to do. This team has a lot of freedom to set up their own ways of working and focus on the projects and tasks they see are most important to do to add value to the organization and our clients.
As our Full-stack Developer in AI you will:
This job isn’t for everyone. If you don’t like collaborating, if you dislike communicating, if you just want to build what you are told, or if working on new and challenging problems isn’t your thing, that’s OK. But this is probably not the role for you. However, if you are up for a varying and challenging role where you work on different problems every 2 to 6 months, like to work in a close knit team to solve problems and find ways to make an impact with ML then you should definitely apply!
In order to contribute in this role:
About the recruitment process:
To help us place the right people in the right role, we believe in science-based and fair assessment methods. We follow a competence-based, structured interview process where your skills, experience and attributes relevant to the role and Sinch will be assessed. As part of our recruitment process, pre-employment testing is used to help us increase our hiring success by identifying the candidates that are most likely to thrive and be successful in the role. We acknowledge that there are two parties making a decision in this process and welcome you to ask any questions you may have at any stage of the process.