Machine Learning Engineer

Position:
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.
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. 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 and improve the extensive Python codebases, following the company’s internal code style and guidelines.
Keep up with the pace in the AI space, tackling hard problems to make tangible impact. 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 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 in 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 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.

We value diversity
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.
Benefits

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.

Company Values

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…