Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 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.  We are looking for a talented Senior Software Developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a Senior Software Engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models.  What we do 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.  What you will 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.You are the ideal recruit if:<ul><li>You have at least 6 years of experience in software engineering.</li><li>You are interested in machine learning and are not afraid of statistics.</li><li>You are customer-oriented — you want to understand how the product is used and solve actual customer problems.</li><li>You know that boosted trees are not only about silviculture.</li><li>You have one or more professional experience building a real product.</li><li>You can mentor less tenured developers, helping them grow both their technical and non-technical skill.</li><li>You are humble and kind. </li><li>You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty.</li>(Note : This is a Software Engineering job. We have separate Data Scientist positions open).</ul>Hiring process:<ul><li>Initial call with the talent acquisition manager</li><li>On-site meeting (or video call) with a software developer or a team lead</li><li>Home test to show your skills</li><li>Final interviews with an engineering manager and a VP of engineering</li><li>An informal interview with a Dataiker to understand our culture</li></ul>Dataiku’s culture is right for you if<ul><li>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 </li><li>You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines </li><li>You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   </li><li>You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week</li><li>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</li></ul>If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy. About Dataiku: Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

Dataiku

Senior Software engineer AI & Machine Learning - Reunion Island

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 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.  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.  What we do 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!  What you will be doing 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:<ul><li>You have at least 6 years of experience in software engineering.</li><li>You are interested in machine learning and are not afraid of statistics.</li><li>You are customer-oriented — you want to understand how the product is used and solve actual customer problems.</li><li>You know that boosted trees are not only about silviculture.</li><li>You have one or more professional experience building a real product.</li><li>You can mentor less tenured developers, helping them grow both their technical and non-technical skill.</li><li>You are humble and kind. </li><li>You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty.</li>(Note : This is a Software Engineering job. We have separate Data Scientist positions open).</ul>Hiring process:<ul><li>Initial call with the talent acquisition manager</li><li>On-site meeting (or video call) with a software developer or a team lead</li><li>Home test to show your skills</li><li>Final interviews with an engineering manager and a VP of engineering</li><li>An informal interview with a Dataiker to understand our culture</li></ul>Dataiku’s culture is right for you if<ul><li>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 </li><li>You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines </li><li>You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   </li><li>You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week</li><li>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</li></ul>If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy. About Dataiku: Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

Senior Software engineer MLOps - Reunion Island

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 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.  As enterprises worldwide become more and more invested in the cloud, Dataiku looks to expand its services and offerings to adapt to rapidly shifting customer needs. We are looking for a talented software engineer to work on the core multi-cloud engines of Dataiku DSS and our new SaaS offering.  Dataiku DSS brings together big data and AI technologies into a unique and easy-to-use platform. It allows data scientists to process data with SQL databases, Spark, and Kubernetes with either user-friendly interfaces or code. The platform is technology agnostic and can adapt to any ecosystem.  What we do The mission of the Cloud &amp; Platform teams is to turn Dataiku DSS into a powerful and scalable platform that can run either as a SaaS offering or be deployed by our customers to their AWS, Azure, or GCP infrastructure. This includes reading from and writing data to Snowflake, BigQuery, Redshift, Synapse, PostgreSQL, MongoDB, etc., and processing data using the latest processing engines and clusters (Spark, Kubernetes, SQL databases, etc.).  What you will be doing You will work on the core components of Dataiku DSS. Here are some examples of what you might do:	- Improve scalability and latency of Dataiku DSS processing engines	- Support new cloud services &amp; databases capabilities	- Enforce security best practices	- Ease installation &amp; deployment of Dataiku DSS on customers; cloud subscriptions	- Deploy machine learning models at scale  Our current technical stack is based on a mix of Java and Python on the backend with Javascript for the frontend.You are the ideal recruit if:<ul><li>You have experience in software development and are interested in data processing.</li><li>You are customer-oriented — you want to understand how the product is used and solve actual customer problems.</li><li>You know it's always sunny when you fly above the clouds.</li><li>You are curious about working “under the hood” and want to learn how things are built.</li><li>You have firsthand experience (either professional or personal) building a real product.</li><li>You are humble and kind. </li><li>You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty.</li></ul>Hiring process:<ul><li>Initial call with the talent acquisition manager</li><li>On-site meeting (or video call) with a software developer or a team lead</li><li>Home test to show your skills</li><li>Final interviews with an engineering manager and a VP of engineering</li><li>An informal interview with a Dataiker to understand our culture</li></ul>Dataiku’s culture is right for you if<ul><li>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 </li><li>You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines </li><li>You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   </li><li>You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week</li><li>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</li></ul>If you want to learn more about our hiring process, you can read this article about our engineering hiring philosophy. About Dataiku: Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com

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