We are Hostelworld Group, the largest global hostel-focussed booking platform. With more than 13 million reviews across 17,800 hostels in 179 countries, Hostelworld is an online hub for social travel.
The website is available in 19 languages and our mobile app in 13 languages.
Our customers crave cultural connection and unique experiences, and Hostelworld makes this possible. We inspire them to meet the world and come back with stories about life-changing experiences, by providing an unbeatable selection of hostels wherever they want to travel.
Hostelworld has a growing team of over 200 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing, across our Dublin, London, Porto, Shanghai, and Sydney offices.
Founded in 1999 and headquartered in Dublin, Hostelworld is listed on the London Stock Exchange and Dublin Euronext.
Working at Hostelworld means embracing a start-up ethos, combined with a professional and mature approach to growing and scaling as a publicly listed business.
We value collaboration, innovation, respect, communication, and smart thinking.
THE ROLE & TEAM
Hostelworld is structured differently than most tech companies in world, as we do not have an Engineering or Product department.
Instead, we have Growth Teams which are full stack groups that are organised into cross functional squads. As a Machine Learning Engineer, you will play a key role in shaping the Data Science progress on building products that help travellers find the right inventory of hostels and experiences.
We’re looking for an individual that has experience understanding the dynamics of a 2-sided marketplace. You will help identify opportunities to optimize the marketing budget and bids across different channels using data science to automatically and efficiently acquire customers, driving massive business growth.
SKILLS AND EXPERIENCE
Experience & Qualifications :
Knowledge & Skills :
Please note this role is available in Shanghai & Porto - please specify your preference.
We welcome applications from all backgrounds and commit to ensuring equal opportunities for everyone