Why join Dataiku? 

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact 

At DKU, we have multiple engineering teams focusing on various aspects of the software, including AI/ML, MLOps, Data Preparation, Data Visualization, and Cloud Platform. Each team offers internship opportunities where you'll work on specific features with direct impact on the final product. During the interview process, you'll receive detailed information about the available features and their contribution to the overall project.

As an intern, you will be working with more senior software engineers every day on a potential future feature of our product. With guidance and support, you will be able to code, debug, optimize, and document your work while learning how to deliver qualitative work.

The stack may differ from one internship to another, but the global stack of Dataiku is Python/Java for the backend and Angular/Vue/React for the frontend.

Here are some examples of previous projects our interns worked on:

Unsupervised models:

• Improve the tooling available for data scientists to train unsupervised (clustering) models in Dataiku
• If time allows, extend further to optimize the training and inference of those types of models

Webapp vibe coding:

• Build an intelligent “vibe coding” assistant that interprets a user’s intent and aesthetic preferences to automatically generate functional web app code
• Prototype and refine techniques that translate natural-language descriptions into usable web components, accelerating web app development for users without deep front-end expertise

Dynamic model management:

• Improve management of AI models accessible on already-deployed software to unlock new capabilities without upgrading
• Leverage Dataiku’s LLM Mesh and accelerate customer adoption, helping shape Dataiku’s strategy for agentic AI in the enterprise

AI-powered code generation:

• Develop and integrate more low-setup code completion features into Dataiku's embedded code editors
• As a time-permitting extension, investigate and potentially implement more AI-powered code generation capabilities to further enhance the coding experience

Flow Search: 

• Significantly enhance the search and filtering capabilities for Dataiku's complex data pipelines by introducing advanced operators
• Implement this powerful search feature by defining a formal query grammar, building an Abstract Syntax Tree (AST) to parse user input, and developing a user-friendly interface with live autocompletion and intelligent error feedback

Internationalization: 

• Actively contribute to the internationalization of the Dataiku platform by allowing faster translation of new and existing software components into various languages beyond English
• Improve and optimize the entire internationalization workflow by implementing technical solutions such as lazy loading for resources, automating translations with LLMs, and developing tools for automated error detection

Files Processor:

• Develop a versatile, all-in-one file processing tool within Dataiku to perform a wide range of transformations and filtering on unstructured data, such as resizing images, converting documents (e.g., DOCX to PDF), and more
• Streamline data preparation workflows by embedding these file manipulation capabilities directly into Dataiku pipelines, improving user efficiency and reducing the need for external tools

Geo-Grouping:

• Develop and implement a new geospatial transformation tool within the Dataiku platform to compute the convex hull of sets of geometric shapes (points and polygons)
• Enhance Dataiku's capabilities by enabling customers to geo-group their data, unlocking advanced spatial analytics for use cases in fields like retail and logistics

Cloud Engineering:

• Contribute to the launchpad SaaS portal of Dataiku, building full-stack features and leveraging Kubernetes to deliver scalable, secure instance management for companies
• Improve platform reliability and developer confidence by implementing safe rollouts (feature flags), deep observability (tracing, metrics, dashboards), and broader automated test coverage

What does the hiring process look like? 

• Initial call with a member of our technical recruiting team (30 min) with a presentation of various internship subjects
• Technical assessment to show your skills (take-home test)
• Discussion with the technical recruiter to select the internship topic (15-30 min) 
• Video call with your future manager (1h)

Benefits and Perks: 

• Ideal location: we are based in the heart of Paris in Gare de Lyon
• 50% reimbursement on Navigo Transport pass and up to 5 paid leaves
• Free breakfasts, snacks, and drinks in our office every day and access to the office canteen
• Opportunities to work with a unique mix of talents and fast career opportunities
• A great place to learn: you will master the key skills of the tech world
• Be part of the AI revolution and learn how we support our customers