Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
Why Engineering at Dataiku?
Dataiku’s on-premises or SaaS-deployed platform connects together 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, Java to Python, Angular to d3.js, you'll work with a dynamic range of technologies. Plus, our dedication to open source communities means you'll contribute to and leverage the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
What you'll be doing:
Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics.
The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend.
Who we are looking for:
- You have at least 6 years of experience in software engineering.
- You are interested in machine learning and are not afraid of statistics.
- You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
- You know that boosted trees are not only about silviculture.
- You have one or more professional experience building a real product.
- You can mentor less tenured developers, helping them grow both their technical and non-technical skill.
- You are humble and kind.
- You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty.