Junior Machine Learning Engineer - e-Xperience Associate
Warsaw, Poland
Job Description
Embark on a dynamic journey with Allegro e-Xperience 2025, spanning from 1st of July 2025 to 31st of December 2025 . Upon successful completion, we aim to extend a permanent contract, fostering your professional growth and development.
Details regarding our recruitment process and timeline you can find here.
Are you ready to kickstart your career? Apply now and seize the chance to shape the future of e-commerce! For this position, we are looking for 1 person.
What does this role involve?
- You will join a team responsible for the deployment and maintenance of Allegro Ads's ML models/algorithms
- You will design, develop, optimize and maintain data and Machine Learning training pipelines
- You will collaborate with Data Scientists as well as with Software Engineers, Product and Data teams across the model lifecycle
- You will take part in production-running model management, monitoring and tuning
- You will learn how to apply the best MLOps practices
We are looking for people who:
- Are experienced in Python
- Are passionate about practical applications of ML
- Have decent analytical skills and know SQL
- Are curious and eager to learn new things
- Are not afraid to challenge the status quo
- Know English at B2+ level
What we offer:
- The opportunity to learn, work on exciting challenges, collaborate with amazing people and have an unforgettable adventure
- The opportunity to learn from incredibly smart and talented people, gaining valuable insights and experiences along the way
- 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 hybrid work model. At Allegro we value working and tackling challenges together, that is why we decided that the best approach is to have the internship take place on-site among us. A hybrid work model incorporates solutions that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
- 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
- MindUp (including training courses on work organization, means of communication, motivation to work and various technologies and subject-matter issues)
Why is it worth working with us?
- We use the following technologies: Python, GCP (Big Query, Composer, Vertex AI, Dataproc, Looker Studio), PySpark, Pandas, PyTorch/TensorFlow.
- The IT team is made up of over 2500 members who have shared their knowledge at multiple conferences, such as Warsaw IT Days, Confitura, Data Science Summit, Devoxx, Women in Tech Summit, UX Research Confetti powered by Allegro people and co-create a blog: allegro.tech
- We organize Allegro Tech events and we make guest appearances at the invitation of such communities as Warsaw AI, Java User Groups, WG .Net, SysOps/DevOps Polska, Product Cafe, Horyzont Danych and many others
- We focus on development as well. We organize hackathons and internal conferences (e.g. the annual Allegro Tech Meeting), our employees regularly participate in events both in Poland and abroad (Europe and USA), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we will always support you
Do you want to get to know us better? Listen to: Allegro Tech Podcast
Interested? Just click the apply button :) Send in your CV, join the e-Xperience and see why it is #goodtobehere
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Dataproc DevOps E-commerce GCP Java Looker Machine Learning ML models MLOps Pandas Pipelines PySpark Python PyTorch Research SQL TensorFlow UX UX Research Vertex AI
Perks/benefits: Career development Conferences Lunch / meals Team events
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