Job Description

A hybrid work model requires 1 day a week in the office.

Allegro Pay is Central Europe’s largest and fastest-growing FinTech – the only place where financial solutions can be created at such a large scale, using state-of-the-art technology. We work on purchase financing and payment methods used daily by customers of Allegro, the most popular shopping platform in Poland and one of the largest e-commerce companies in Europe. We seek talented people who want to create powerful and robust solutions supporting a product with over a dozen million active users.

As a Senior Machine Learning Engineer, you will be responsible for the machine learning / data platform in Allegro Pay and support Data Scientists in building machine learning models, making business-critical decisions, and enabling shipping models to production while ensuring their high availability and performance. More precisely, you will:

• Develop a modern MLOps ecosystem aimed at automating the process of building and deploying machine learning models,

• Extend platform capabilities in GenAI space,

• Design and implement a modern platform for training predictive models (classifiers & regression, deep neural networks, graph models),

• Deploy models to production and optimise deployment pipelines, to enable Data Scientists’ self-service,

• Manage, monitor, and recalibrate models deployed to production,

• Support work on our Feature Store - an application providing predictors for models operating in production,

• Work with diverse data structures, such as geographic data, event sequences, digital device fingerprints,

• Align ML platform roadmap with business and research needs through collaboration with diverse stakeholders,

• Support and advise junior ML Engineers in your space.

Technologies you’ll encounter on the job are (among others) Python, Snowflake, Airflow, Azure, Kedro, MLFlow, .NET, Kubernetes, Tableau

Why is it worth working with us, and what sets us apart?

• We are an experienced team that is not afraid of hard problems and is constantly looking for development opportunities. We deploy our models at a scale found nowhere else in Poland

• We approach the development of analytical solutions with an engineering mindset, drawing from methodologies originating in classical software development

• You will be working on applications of ML in the finance sector, where the scale, sophistication of algorithms, impact on business, and technical requirements will be the key challenges

• You will directly influence predictive models which change the way how millions of Allegro customers interact with the platform, in real-time

• Our employees regularly attend conferences in Poland and abroad (Europe & US), 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

We offer:

• Community of experienced Machine Learning/Data/Software Engineers & Data Scientists - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board

• Possibility to lead implementation ML solutions which are unique on the market

• Our office, which is located in one of the most vibrant and desirable locations in Warsaw - Fabryka Norblina. We enjoy numerous lunch spots, fully equipped kitchens, 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)

• Annual bonus of up to 10% of the gross annual salary (depending on your end-year assessment and the company's results)

• Long-term discretionary incentive plan based on Allegro.eu shares

• Fully sponsored English classes, related to the specific nature of your job

Our offer is addressed to people who:

• Graduated with a degree in Computer Science, Mathematics or another technical major

• Have at least 3 years of experience in building ML-driven solutions

• Fluently program in Python, know libraries from the MLE’s toolchain (scikit-learn, PyTorch/tensorflow, Pandas, FastAPI/Flask) and use development tools with ease

• Has  experience with modern Python-based orchestration tools (Airflow, Dagster)

• Has worked with MLOps tooling like Azure ML, AWS Sagemaker, Kubeflow, MLFlow

• Has good analytical skills and know SQL

• Knows and applies the DevOps principles in their work

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

• Are able to make independent decisions within the scope of their responsibilities and take ownership of the code they created

Nice-to-have:

• Experience with the .NET ecosystem

• Experience with modern SQL-based data transformation frameworks - dbt

Submit your CV and join Allegro Pay!