We are looking for an experienced Machine Learning Engineer to join the Allegro Ads team, working on Machine Learning projects for the Allegro advertising system. The ideal candidate should possess a wide engineering knowledge (from data/feature engineering, through online model serving to deployment and monitoring methods) as well as a strong competency in using Machine Learning algorithms. As a Machine Learning Engineer you will support Data Scientists in developing Machine Learning models and ensure seamless deployment of models to production, maintaining high availability and performance.
Technologies you’ll encounter on the job are (among others): Python, GCP (Big Query, Composer, Vertex AI, Dataproc, Looker Studio), PySpark, Pandas, PyTorch/TensorFlow.
What will your work consist of?
Designing, developing, optimizing and maintenance of data and Machine Learning training pipelines
Collaborating with our Data Scientists as well as with Software Engineers, Product and Data teams across the model lifecycle
Production-running model management, monitoring and tuning
We are looking for people who:
Have a bachelor or master's in machine learning, mathematics, computer science, statistics or related fields
Have proficiency in Python
Know ML models lifecycle
Have a practical experience in ML-based solutions development
Have a knowledge of ML algorithms and common libraries used to deal with models
Have prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure)
Have a practical experience in Python microservices and libraries development as well as maintenance
Can independently make decisions within a designated scope and take full responsibility for tasks taken, throughout their entire lifecycle: from engineering requirements and implementation to deployment and maintenance
Have an advanced knowledge of SQL
Know English at a minimum level of B2
What we offer:
High impact and opportunity to design the ML backbone of largest eCommerce platform in Poland and one of largest in Europe
Development opportunities in designing cutting edge solutions at scale that bring real value to customers
Possibility to implement ML solutions which are unique on the market
Support of experienced Machine Learning Engineers, Research Engineers, Data Engineers and Data Scientists - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
A hybrid work model 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)
Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)
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 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs) and all other gadgets that you should need
A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
Hackathons, team tourism, development days, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
Send in your CV and see why it is #goodtobehere!
