Machine Learning Engineer
Machine Learning Engineer
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Job Description
ABOUT US
Hostelworld Group the global hostelfocussed online booking platform inspires adventurous minds to meet the world and come back with lifechanging stories to tell. Our customers are not your average tourists they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations all in the palm of their hand.
It is the social nature and community feel of hostels and their environment that enable travellers to embrace journeys of discovery adventure and meaning. We have more than 13 million reviews across 17800 hostels in more than 179 countries making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin Hostelworld has a growing highcalibre team of 230 people within Technology Product Global Markets HR Finance & Legal and Marketing Teams across our Dublin London Porto Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. You can read more about our story here.
LOCATION
This role is based in Portugal. We have an office hub in Porto available for those who prefer a hybrid model where you can spend time with colleagues inperson. You will need to be able to commute to our office hub as required from time to time.
WHO YOULL WORK WITH
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 Growth Team progress on building products that help travellers find the right inventory of hostels and experiences.
WHAT YOULL DO
- Translate business and customers problems into machine learning solutions.
- Defining hypotheses measure and monitor the success.
- Propose design build maintain and push machine learning solutions into production.
- Express and communicate the business and technical impact of the machine learning solutions to a variety of audiences.
- Responsible for the endtoend process of designing and running experiments to serving production models at scale.
- Ensure that the solutions are maintainable performant scalable and debuggable.
- Automate and abstract away different repeatable routines that are present in most machine learning tasks.
- Provide support to software engineers and product managers building machine learning solutions.
- Bring the best software development and infrastructure practices to the data science squad.
WHAT WERE LOOKING FOR
Experience & Qualifications:
- Proficiency in machine learning concepts such as data exploration feature engineering model selection training and testing.
Proven experience in productization of machine learning solutions libraries packages REST APIs serving and monitoring.
Familiarity with ranking recommender systems and natural language understanding.
Familiarity with deep learning.
Knowledge & Skills:
- Proficiency programming in Python and SQLlike databases.
- You are proficient in at least one of the following machine learning tasks classification regression or clustering.
- You are familiar with at least two of the following libraries or packages scikitlearn pandas Spark MLlib TensorFlow or PyTorch.
- Ability to carefully design solutions that scale with increasing volumes of data.
- Ability to follow software engineering best practices including requirements analysis system design modularity version control testing and documentation
WHAT WE OFFER
- Competitive salary & benefits
- Enhanced annual leave plus 3 Wellbeing Days per year
- Paid family leave (maternity paternity surrogacy & adoption)
- Agile working (plus a Working from Abroad Policy!)
- Support for your ongoing growth & development
- Inclusive people policies (sickness menopause compassionate and fertility leave)
- A chance to give back to your local community with 5 paid volunteering days
OUR BEHAVIOURS
- Grow others We fundamentally believe that investing in growing others benefits everyone whether its helping them develop hard or soft skills. We want learning and growing to be part of our DNA to help makes us a better team together.
- Master it We are obsessed with our area of expertise and enjoy developing our skills. We rarely take things at face value; we investigate interrogate and always look for the why and wherever possible we use data to find the best solution.
- Collaborate We are in it together for the tough stuff and the celebrations too. To achieve the best results we need expertise from all areas of the organisation and we wholeheartedly welcome diverse thinking.
- Adapt We work fluidly adapting to new information and the evolving environment while staying committed to our goals. Innovation and experimentation fuel our projects and were never afraid to pivot.
- Deliver Our focus is always on the end result; we value outcomes over activity. We collaborate to deliver work at speed without dropping any of our other behaviours.
We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role. If you dont meet them all please consider applying if you think you can still perform the role as described.
Employment Type
Full Time
