Start your career with Allegro e-Xperience 2026 - a talent program running from 1 July to 31 December 2026.

During the program, you’ll gain hands-on experience, work on real projects and learn from teams shaping one of the largest e-commerce platforms in the region.  After the initial period, candidates may be considered for future permanent opportunities at Allegro, depending on business needs and performance.

You can find full details about the recruitment process and timeline here.

Ready to take your first professional step?
Apply now and shape the future of e-commerce with us!
For this role, we’re looking for 5 Associates. 

What you’ll be working on? 

• You will be part of the team preparing ML models in e-commerce in Poland

• You will define business goals in cooperation with a team of domain experts and translate them into machine learning problems

• You will analyse and process big data sets

• You will train models with high business impact and monitor their operation in production

• You will expand your expertise in the Google Cloud ecosystem, including BigQuery and Vertex AI

This role is for you if you:  

• Are familiar with Python and its DS and ML-related packages (numpy, pandas, sklearn, scipy)

• Have an advanced knowledge of SQL 

• Understand statistical and machine learning methods, especially algorithms based on decision trees and neural networks

• Are eager to continuously develop their skills and expand their knowledge

• Know English at the B2+ level

What's in it for you:

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. 

• The opportunity to learn, work on exciting challenges, collaborate with amazing people and have an unforgettable adventure

• Mentorship and support from your buddy throughout your entire program 

• Additionally, you will be part of a supportive, inclusive culture that fosters personal growth, career development, and the building of meaningful connections with colleagues

• A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

• The necessary tools for work

• Working in a team you can always count on - we have on board top-class specialists and experts to learn from

• Hackathons/Open days, workshops, guilds, meetups and internal knowledge sharing

• Internal learning platform (including training courses on work organization, means of communication, motivation to work and various technologies and subject-matter issues)

And that's just the beginning! You can read more about the benefits here.

#goodtobehere means that: 

• You will join a team you can count on - we work with top-class specialists who have knowledge - and experience-sharing in their DNA.

• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. 

• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).

• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.

• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. 

• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! 

Send us your CV and… see you at Allegro!

Do you want to get to know us better? Listen to: Allegro Tech Podcast