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

WHO WE LOOK FOR

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.

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 companys 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..

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 dont tick every single box in the requirements wed love to hear from you!

SALARY RANGE :

40000 - 60000 fixed gross salary per year.

LOCATION

We have offices all around the globe but you can take advantage of our flexible hybrid mode or decide to work full-remote from anywhere in Italy Spain or Poland.

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

Were a team of 450 people (and counting!) from 30 different nationalities. Were on a mission to innovate and we believe the key to that is seeing the world through a variety of perspectives. Thats 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. a fast-moving world speed with purpose beats certainty without action. Momentum mattersnot 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. Thats not a flaw. Its the price of ambition.
• Challenge with Empathy: We speak up even when its hardbecause 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 buildersof products systems and ideas. But more than that we are builders of better. Better has no finish line. Its 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 such cases the processing of your personal data will be subject to the specific privacy policies that can be found

* 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.