We are the platform turning browsing into shopping.
We connect 200 million shopperswith deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, andwe support retailers and brands in engaging customers from online research to in-storepurchases.
Ready to spark your growth with us?
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.
Location
We have offices in Milan, Naples, Bologna and Cagliari but you can take advantage of ourflexible hybrid mode or decide to work full-remote from anywhere in Italy.
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, ...)
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
Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results.
Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better.
Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition.
Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust.
Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset.
