
Description
Important note: If "innovative", "hands-on", and "equity" don't scare you off - and you have a founder mindset with or without founding experience - then read on.
Because only one thing is certain with a start-up like ours at the moment: the big technical challenge and the associated risk.
If that's not a problem for you: you are very welcome to join us.
About Stay
Stay is, in a nutshell, about revolutionizing the way people book hotels. The most personalized medium to find your perfect stay, to share and experience unforgettable moments. The situation: 70% of travelers book their hotels online. Hotels are the backbone of the travel industry – from boutique hotels to luxury resorts, from solo travelers to families. In short: hotels are the heart of our travel experiences.
On our platform, we develop and combine the latest AI algorithms that orchestrate themselves to create, analyze, and optimize hotel bookings with unprecedented simplicity and enrich with new creative possibilities. Whether hotel owners, travel agencies, or individual travelers. Already today, our first customers can save up to 50% in booking costs and over 60% in search time.
Our goal for 2028: every second hotel booking will be made via our platform.
Which is a beautiful but demanding challenge and has already been described as a first-time ascent. That's why we are looking for an expert (f/m/d) who is interested in the topics "Hotel Booking, Machine Learning, Natural Language Processing, and perhaps – also travel, hospitality, and customer experience."
But also to build and lead your own team – creating together remotely, a pretty ambitious multi-model platform for AI-powered hotel booking.
You will work on our existing Machine Learning platform:
Predictive modeling for hotel demand and pricing
Natural Language Processing for hotel description analysis
Recommendation systems for personalized hotel suggestions
Integration with hotel property management systems
Train and re-train custom models & leverage off-the-shelf models
Use cutting-edge technologies & neural nets to improve booking efficiency and customer satisfaction
Skills required:
Strong Python3 skills
Knowledge in scikit-learn, TensorFlow, or PyTorch
Experience with hotel booking systems or travel industry
General knowledge in NLP algorithms (e.g., BERT, RoBERTa)
Containers (Docker, Kubernetes)
AWS Services (S3, Lambda, SageMaker, API Gateway)
Optional, but desired skills:
Microservices
Airflow
boto3
What we offer:
A place on our cap table
Or virtual shares
And a new way of organization (look down)
Interested? Great.
Please get back to us: [email protected]
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Behind the scenes:
Our Workflow
We organize ourselves on our own responsibility, based on what everyone wants and can contribute. In other words, you can define your own role, what you want to do and from where. You can set up your own team, invite the people who you want to work with.
Leadership is a major topic nowadays. Also for us. With the difference, that we believe in self-responsibility and ownership. That's why we will build Stay like an organism. In which you describe your role, your contribution, take responsibility for it, decide who fits into the team, and therefore you shape Stay as a co-creator.
Your contribution
You feel like true innovation instead of trendy talking about, and you can imagine being part of something completely new (technical and entrepreneurial). Maybe travel is even one of your passions and you enjoy exploring new destinations. And perhaps you were a founder yourself and know what it takes to grow a business.
You enjoy developing roadmaps from marketability to scaling. You are fluent in plain, clear language, no matter which tongue – ideally English or Russian.
Self-responsibility and clarity are essential in the organism Stay. You can always learn something new in this respect. And – we rely on collaboration – so that the greater good can reach its full size. It would be great if you live in Europe – no matter where you originally come from.
Short about us
We have a great vision, which we would like to share with you – also via shares.
We work when, where and as long as we want. Remote, in the garden, in the office, in jogging