We are the platform turning browsing into shopping. We connect 200 million shoppers with 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, and we support retailers and brands in engaging customers from online research to in-store purchases.

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.

WHAT YOU WILL NEED🪄

Coding: proficient Python knowledge; proven experience with Pytorch, Pandas,FastAPI/Flask, HuggingFace models ecosystem. Software Engineering skills are asimportant 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 ofneural network architectures such as Transformers, GPT and proven experience ondeveloping 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 ComputerVision field, such as YOLO; Multi Modal Language Models or Vision LanguageModels; 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 (previousprojects, academic works..) in building recommendation engines such ascollaborative, content-based, knowledge based filtering based on custom deeplearning models or available libraries like Surprise, LightFM, Implicit etc.

👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you!

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 from anywhere in Italy.

WHAT YOU WILL FIND AT SHOPFULLY 🤗

🌎 An opportunity to thrive in a rapidly scaling multinational company

🕶️ A vibrant, informal, and inclusive work environment

🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work

📚 Access to learning opportunities and regular feedback sessions

🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups

🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks

💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are

🧰 Benefit from additional country-specific advantages based on local contracts and practices

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.

If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here.

* Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.