At Joko, we help consumers shop smarter. Our mission is to revolutionize shopping, empowering people to find what they need, make informed decisions, and save money.
Founded in Paris, Joko is a tech company and certified B Corp with over 80 talents across Paris, Barcelona, and New York (and beyond). More than 5 million users already save money every day at 10,000+ merchants with Joko.
From cashback and automatic coupons to price alerts and carbon tracking, we keep expanding our products to make shopping smarter. We’re now building an AI-powered shopping assistant to help users find the best products by price, quality, and impact.
Having reached profitability in our core market, we’re now scaling globally, with a strong focus on the US.
It’s still day 1, come build the future of shopping with us!
This position will be located in Paris
🧪 Research at Joko
At Joko, we believe that today’s online shopping experience is fundamentally flawed. Our ambition is to disrupt it by enabling users to find their desired products in the smoothest way possible, to effortlessly compare all their characteristics, and to access transparent and clear information on both their price and environmental cost.
To achieve our goal, our research team tackles two main challenges:
Building the universal product catalog : We are developing the world’s largest universal product catalog, bringing together all the products sold across e-commerce worldwide. This requires the ability to understand any web page in order to extract structured information, and to clean and standardize data from millions of heterogeneous sources in near real time. One of the biggest difficulties lies in scale: we must process hundreds of millions of products multiple times per day
Developing the AI Shopping copilot: On top of this catalog, we are building an AI copilot that helps users navigate our product universe through natural conversation. This goes well beyond traditional RAG systems: it requires combining full-text and vector search across massive datasets, while leveraging LLMs to ensure an experience that is reliable, fast, and cost-efficient. We continuously iterate to improve search accuracy, reduce latency, and better capture user intent.
To meet these challenges, we rely on LLM-based methods. We have developed state-of-the-art approaches centered on fine-tuning relatively small models, striking a balance between performance and efficiency. Still, much research remains to further optimize resource usage, scale our systems to ever larger volumes of data, and explore new architectures that push the boundaries of what LLMs can achieve in large-scale e-commerce applications.
⚙️ What you’ll do
At Joko, our Machine Learning interns are considered full members of our engineering teams. We design internships to be deeply tied to real-world projects, ensuring that interns can have a tangible impact from day one.
For end-of-studies internships, our goal is not only to provide a meaningful learning experience but also to prepare interns for a smooth transition into full-time engineering roles at Joko after their internship.
You will have full ownership of your project and the freedom to orient your research direction based on your results and what you consider promising. Your ultimate goal will be to deploy your work in production and monitor its impact on hundreds of thousands of users. Exploration is at the heart of the internship: you will conduct experiments, literature reviews, and theoretical developments.
As a Machine Learning Research Intern, you will work with our engineering teams to maximize your impact, and you will work on one of the following research topics:
- Improving the Universal Catalog Pipeline
* Enhance the performance and scalability of our LLM-based data processing pipeline
* Explore fine-tuning for specialized tasks and techniques to reduce model size (quantization, pruning, distillation)
* Develop rigorous evaluation methods, notably using LLMs as judges
- Improving Search in the Catalog
* Benchmark search techniques that combine full-text and vector search
* Explore using images to enhance search performance
* Identify and evaluate the most effective LLM-based embedding methods
- Improving the AI Copilot
* Benchmark and fine-tune models to improve both performance and latency
* Work on model optimization (size reduction, distillation, quantization)
* Establish rigorous evaluation pipelines
📌 Your Responsibilities
Research: Formalize objectives, conduct literature reviews, design new algorithms, and collect/transform data for experiments.
Exploration & Ownership: Orient your internship towards research directions you deem most valuable to users.
Implementation, Deployment & Monitoring: With the support of the engineering team, integrate robust algorithms into production and monitor their real-world impact.
💎 Our perks
At Joko, we believe that flexibility and trust are essential. Our work environment reflects this through:
Flexible remote (for specific fully-remote positions):
If you live in Paris, you can choose to work from our office or from home with no constraints. If you live elsewhere, we provide access to a coworking space and a coworking budget.
Work from anywhere (full-time only):
Want to spend a month working from Italy? Full-time employees can work from most countries in the world for up to 3 months per year.
On top of that, we offer plenty of perks (some for everyone, others only for full-time positions):
🇺🇸 After 4 years, spend one month in our New York office
🌴 Yearly offsite in amazing locations, plus a team-building budget and quarterly in-person gatherings
💪 Contribution to your ClassPass subscription
🍼 8-week paid parental leave
…and much more, check the full list here!
