Machine learning is reshaping the software industry, and one way we stay at the top of our market is by applying ML techniques to deal with natural language and automatize our customers’ work.
This allows users to process information in a platform that smartly takes into account the ambiguity of human language.
Your challenges and objectives :
Work towards building a product that understands human languages as they come in resumes, cover letters and so on
Produce statistic-based estimations and metrics to assess the results of machine learning models, evaluating machine results against human results
Research complex issues brought up by management and propose ways to solve them with machine learning
Your day-to-day activities
Help refine our ML tools and models as we apply them to wider domains
Experiment and work with trials and errors of ML models
Interact with internal teams to get internal and external feedback, to improve the tools (e.g. resume parser)
About you :
Software engineer or computer science major (advanced student or graduate)
Curious and up-to-date on how to solve industry-related problems with ML, with the ability to bring academic knowledge into the industry
Working experience in OOP
Knowledge or background in ML o NLP
English intermediate level, as most research is done in English
Knowledge of other natural languages is a big plus
Interest or background in statistics is desired
About us :
We’re a market leader enterprise that makes its own product : A highly flexible enterprise SaaS platform used for Global Talent Acquisition and Talent Management.
Developing our own product means that we use our ideas and set our priorities, but also that when it comes to how we work, we set our own rules.
We choose to work in a relaxed, energetic and creative environment, where everyone can make the most of their skills and preferences, and boost their individual capabilities through collaboration and team work.
We offer :
A fun, energetic, and fast-paced environment
Flexible hours and possibility to work from home
Competitive salary, with two reviews per year
Three weeks vacations from the first year
OSDE health coverage
Fully-equipped kitchen, pastries every Monday and fruits every day
Fully-equipped locker rooms with showers
Access to rotational parking space