Machine Learning Engineer

Job Description

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 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 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,

• design and implement a modern platform for training predictive models (classifiers, 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.

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:

• Support 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 implement ML solutions which are unique on the market.

• A hybrid work model that you will agree on with your leader and the team. We have well-located office (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).

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

• 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 1 year of experience in building ML-driven solutions

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

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

• Have good analytical skills and know SQL

• Know and apply 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

• Knowledge of cloud-based MLOps tools (AzureML, Google Vertex AI, AWS Sagemaker)

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

Submit your CV and join Allegro Pay!