We are looking for a talented Senior Software Developer interested in machine learning and data engineering to join us at Dataiku. As a Senior Software Engineer, you will build a cutting-edge product that has a real impact on our customers in one of the most talked-about and impactful areas of the discipline today: MLOps. You will focus on Dataiku DSS’ MLOps capabilities, from automating the retraining, tuning, monitoring and deployment of ML models to the interfaces that allow various stakeholders, with their own skills and role, to collaborate on ML projects. 

Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes,  and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. 

Side note: we also wrote an O’Reilly book on MLOps! 

Your role will be to add new features or improve existing ones to help our customers use predictive algorithms, put them into production, and monitor them with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop features to put humans in the validation loop, or collaborate with the Governance feature team to develop cross-product features and keep bringing values to all users. The platform itself is in Java, Python, and Scala for the backend part, with JavaScript and Angular on the frontend.

You are the ideal recruit if:

• 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.
(Note : This is a Software Engineering job. We have separate Data Scientist positions open).

Hiring process:

• Initial call with the talent acquisition manager
• On-site meeting (or video call) with a software developer or a team lead
• Home test to show your skills
• Final interviews with an engineering manager and a VP of engineering
• An informal interview with a Dataiker to understand our culture

Dataiku’s culture is right for you if

• You want to be able to define your own version of work-life balance - flexible is our go-to word,  it applies equally to remote work, vacations and parental benefits 
• You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines 
• You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   
• You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week
• You care about giving back - it’s what our Ikig.AI program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing

If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy.

To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success.