Machine Learning Engineer

Who we look for

Every day our ingestion system receives more than 100 million events from our users.

As a Machine Learning Engineer, your mission is to elevate Retail with AI-Driven Solutions.

The final goals are to transform the retail strategy with our AI-powered platform, designed to curate the finest deals and streamline product discovery for consumers, and empower global marketing efforts with automation and personalised content that resonates with shoppers.

Since you will be working in a highly collaborative environment, you will cooperate with Data and Software Engineers, Data Scientists and Product Managers.

What you will do

Your main responsibilities are linked to: Information Extraction and Enrichment from unstructured content, Data Platform activities (e.g., ETLs, ELTs), Multi Modal Extreme classification, Semantic Similarity in a Multi Modal setting and Recommendation systems. Here some examples:

Autonomy to work on data pipelines, writing SQL queries; processing data using Pandas, Polars or Spark. Following good MLOps practices to develop and implement AI models in production environments, serving +100k predictions per day;
Design a novel solution, from the problem to the final deployment stage; Develop AI models to process organic unstructured content such as offer images or text to extract valuable data for our users or clients;
Manage, work on and improve the extensive Python codebases, following the company’s internal code style and guidelines;
Keep up with the pace in the AI space! We tackle hard problems, we make tangible impact, so every advancement in the field, whether it is a new architecture or an off-the-shelf open source model, can bring us and our clients a ton of value! We value knowledge and curiosity, a lot.

What you will need

Coding: Proficient Python knowledge; Proven experience with Pytorch, Pandas, FastAPI/Flask, HuggingFace models ecosystem. Software Engineering skills are as important as the AI-related ones;
MLOps : Fully autonomous in building the pipelines (data, modelling, deployment) to bring the AI solutions from experiments to production;
Natural Language Processing (NLP) and GenerativeAI: Advanced knowledge of neural network architectures such as Transformers, GPT and proven experience on developing projects in this area (text classification, Named entity recognition, caption generation, unstructured data extraction, etc);
Image and content: Solid Knowledge of neural architectures in the Computer Vision field, such as YOLO; Multi Modal Language Models or Vision Language Models. Proven experience on developing projects in this area (image classification, image-text search, image understanding, image captioning, etc);
Search: OpenSearch or ElasticSearch knowledge is a nice to have;
Recommending Systems: Good to have some proven experience (previous projects, academic works..) in building recommendation engines such as collaborative, content-based, knowledge based filtering based on custom deep learning models or available libraries like Surprise, LightFM, Implicit etc..

Location

We have offices in Milan, Naples, Bologna and Cagliari but you can take advantage of our flexible hybrid mode or decide to work full-remote.

What you will find at Shopfully

A chance to grow in a fast-scaling international company

A dynamic, informal and inclusive work environment

We empower you to take full ownership of your work, encouraging autonomy, flexibility and a hybrid work environment

Learning opportunities & regular feedback sessions

Modern, central offices with fresh snacks, coffee (vegan options too!) and ergonomic setups

Team moments that matter: offsites, team aperitivos, company parties and celebrations that bring us together beyond work

We provide all the equipment you need to work effectively and set up your ideal workspace — wherever you are

Additional country-specific benefits are provided based on local contracts and practices (i.e. meal vouchers, public transports vouchers, discounts with local partners, pet & family-friendly spaces, ...)

Your Point of Contact

Alessia Musazzi (a.musazzi@shopfully.com)

About us

WHO WE ARE

We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.

TO FEEL AT HOME IN SHOPFULLY YOU NEED

AMBITION: we aim high, designing solutions that create real value. Success is tracked with clear metrics, long-term strategies evolve with changing needs
TRUTH SEEKING: openness drives progress. We ask questions, share information freely, and embrace feedback to spark fresh ideas and continuous improvement
COLLABORATION: great things happen together. We value diverse voices, celebrate contributions, and create a safe space for everyone to thrive
SPEED: we move fast and work smart. Focusing on what matters, we balance speed with thoughtful execution—knowing when to act quickly and when to pause for critical decisions.