Senior Machine Learning Engineer

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? 🚀
Overview
Every day our ingestion system receives more than 100 million events from our users. As a Senior 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.
Responsibilities

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.
Coding: proficient Python knowledge; proven experience with Pytorch, Pandas, FastAPI/Flask, Hugging Face 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 Generative

AI: 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:
Open Search or Elastic Search 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, Light

FM, Implicit etc..

Benefits

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.

€40,000 - €60,000 fixed gross salary per year.
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.
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.
#J-18808-Ljbffr