Software Engineer Intern

• 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. You can find out even more about working in Engineering at Dataiku by taking a look here. • 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. • AI/ML, MLOps, Data Preparation, Data Visualization, and Cloud Platform. • As an intern, you will be working with more senior Software Engineers everyday 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 on how to deliver a qualitative work. • The stack may differ from an internship to another but the global stack of Dataiku is Python/Java for the backend and Angular/Vue/React for the frontend. • Python/Java • Angular/Vue/React • Here are some examples of projects you could work on: • some examples • Unsupervised models: • Improve the tooling available for Data Scientists to train unsupervised (clustering) models in Dataiku • If time allows extension, further optimize the training and inference of those types of models • Webapp vibe coding: • 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: • 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: • 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: • 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 • 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 AI revolution and learn how we support our customers • What are you waiting for! • At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.