walletFixed base monthly salary from 2000 EUR
walletCompetitive salary reflecting your motivation and maturity (monthly fixed & variable salary from 2000 EUR to 4000 EUR + stock options)
location-pinBratislava, Slovensko

We are Exponea, an internationally renowned Customer Data Platform – a tool for in-depth analysis and marketing automation for online businesses. We work with global leaders and top companies in e-commerce, telco, and banks all around the world.


We are currently expanding our Recommendations team and are looking for a new colleague as Recommendations Engineer. Could you be one of them?

Our team:

The vision of the Recommendation team is to improve the customer experience on the web through personalization. It empowers our clients to better connect with their customers, and on the other hand, customers shopping online are able to find relevant products out of thousands of products available. We are building a recommender system platform which works out of the box using customer behavior on a website and focuses on long-term revenue optimization of our clients. The main challenge is to build a robust recommender system which works well across a wide variety of e-commerce companies. We strongly focus on the application to bring value for our clients and we are eager to try the latest research advancements.


What our team offer

  • Work in a team with experienced software engineers and machine learning engineers with papers at the top ML conferences such as RecSys or IJCNN
  • Personal development and professional growth in the field of software engineering, cloud computing and machine learning
  • Gain practical knowledge working with technologies such as Python, Google Cloud Platform, BigQuery, Kubernetes and Tensorflow


We’re looking for someone who:


Must have:

  • Ability to write clean and concise code in Python
  • Ability to collaborate in a cross-functional team using strong written and verbal communication
  • Experience with iterative and test-driven development
  • Understanding of core Computer Science concepts such as data structures and algorithms
  • Solid experience in building RESTful APIs
  • Comfortable writing database queries (SQL, NoSQL)
  • Basic knowledge of Data Mining and Machine Learning with eagerness to learn in this field


Nice to have:

  • Experience with machine learning libraries, such or scikit-learn
  • Experience in designing and building infrastructure at scale


Our Tech Stack

  • Python
  • Google Cloud Platform
  • BigQuery
  • Tensorflow
  • Apache Spark
  • Apache Kafka
  • Kubernetes
  • PostgreSQL, Redis


  • Data preparation and data storage for fast querying – Features extraction based on tracked behavioral data and  product catalogues
  • Decreasing latency of recommendations API below 50 mins.
  • Quality Monitoring – Online/offline evaluation metrics tracking, setup of features monitoring and monitoring of hundreds of ML models
  • Building a Domain Specific Language (DSL) for incorporation of business rules into algorithms using products filtering and boosting/ordering
  • Product Discovery – Improving the shopping experience by generating or reordering elements on the web page to show personalized products with explanations and product badges
  • Building production system for visually similar products using deep learning computer vision model, which finds similar products based on product images
  • Automatic anomaly detection from provided data generating insights for business stakeholders, e.g. changes in sales or conversions

What you might like about Exponea:

  • A great deal of freedom and trust. At Exponea we don’t clock in and out, and we have neither corporate rules nor long approval processes. We are interested in results from day one. The freedom goes hand in hand with responsibility.
  • Learning, personal development and professional growth.
  • Entrepreneurship and leadership lessons. You will gather valuable know-how for your own business. Our CEO Peter Irikovský’s goal is to support our people in starting their own successful businesses. Easier done with the money and know-how you will have obtained here. (Read more of what Luna, our E-Commerce Growth Specialist has learnt about growing a business).
  • Flexible working hours. Remote work and home office are possible.
  • Reward based on your commitment and capabilities.
  • Possibility to co-own the company through employee share program.
  • An easy-to-access downtown office.
  • Coaching sessions with our communication and talent development expert, Ivo Večeřa.
  • An array of fringe benefits including hardware (pick the machine and tools you like), books, gym classes, language classes.
  • Free lunches in Exponea Foodie Club restaurants; fresh fruit in the office every day.
  • Travel insurance also for personal purposes.
  • Friendly atmosphere and motivated colleagues who like what they do.   

About us:

Exponea is a fast growing SaaS company in marketing automation and advanced data analytics. With offices and customers in many countries, the company spans the globe. The team works with multiple sectors, including e-commerce, banking, and telco, enabling sustainable growth for market leaders, such as Victoria Beckham, Missguided, T-Mobile, Sygic, and many others. Learn more about Exponea.


Get a glimpse of life at Exponea and meet your future colleagues (Facebook Page Exponea Society).

Like this role? Apply here.

Drop your CV here or click to upload (docx, pdf, max. 5MB.)

SW Engineering

If you have any questions, please contact us at