Machine Learning Engineer - Data Platform
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 14, 2026.
Job Description:
We are looking for Mid and Senior Machine Learning /AI Engineers to join our team building high-scale ML platforms and advanced AI solutions, who want to create powerful and robust solutions supporting a product used by over a dozen million active users.
Our hybrid environment leverages on-prem Kubernetes infrastructure for large-scale training/serving and the full power of Google Cloud Platform (Vertex AI, Dataflow, BigQuery ML, Cloud Run, Composer/Airflow).
Your main responsibilities:
- Develop the Self-Service ML Platform, a critical part of the ML tooling workstream.
- Prepare, maintain and execute the ML Engineering in Allegro training.
- Deploy, monitor and maintain models in production.
- Implement and maintain a shared feature engineering platform.
- Be responsible for working out the functional scope, requirements engineering and delivery of the common platform and standards for AI enablement in the organization.
- Develop software products and maintain them throughout the entire lifecycle (requirements engineering, iterative development, deployment, maintenance).
- Participate in task forces designated to solve ML-related engineering challenges.
- Optimize, troubleshoot and debug training code in terms of performance and cost-effectiveness.
- Cooperate with other teams: analytics, data engineers.
This is the right job for you if:
- Ukończyły studia informatyczne lub inny kierunek techniczny
- Mają doświadczenie w pracy przy budowie rozwiązań opartych o dane oraz techniki uczenia maszynowego
- Programują w Pythonie i znają biblioteki niezbędne do pracy z modelami (jak np. SciKit-Learn, PyTorch, Pandas)
- Potrafią samodzielnie podejmować decyzje w ramach powierzonych obowiązków oraz biorą odpowiedzialność za wykonywane zadania - od opracowania wymagań, przez implementację po wdrożenie i utrzymanie
- Znają język angielski na poziomie min. B2
What we offer:
- Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
- Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
- Annual bonus based on your annual performance and company results.
- Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
- A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
- 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).
- English classes that we pay for related to the specific nature of your job.
- A training budget, inter-team tourism (more here), hackathons, and an internal learning platform where you will find multiple trainings.
- An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
- Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.
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 sharing knowledge and experience in their DNA.
- You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
- 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!