Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Position: Synthetic Data Engineer
Location: The Hague – The Netherlands // Remote
Are you an ambitious and talented engineer and do you want to be at the forefront of Generative AI and solve the issue of data privacy to accelerate data innovation? Then BlueGen.ai has a fantastic opportunity for you.
For more information about the role, please contact us at careers@bluegen.ai and we will get in touch with you.
BlueGen.ai is a synthetic data platform at the forefront of generative AI and the next generation of privacy-enhancing technology. Its technology sits at the crossroads of cutting-edge machine learning, such as Diffusion Models and Flow Matching, together with Differential Privacy and distributed systems. As a Synthetic Data Engineer, you can make your mark to take BlueGen.ai’s product to the next level also working with Enterprise European customers. Besides analytical, machine learning, and coding skills, we are looking for an assertive professional with an entrepreneurial spirit.
Your role centers around translating state of the art research into a product that solves real-world problems. This involves working with customers to help them generate high quality privacy safe synthetic data, implementing algorithms for handling different data types, designing robust software that can deal with the inherent complexities of real-life data, and analyzing failure cases to improve the quality of our synthetic data.
You will be part of our software engineering team and build new features and systems with cutting edge technology. You will have the opportunity to work on individual development goals, and grow into senior roles.
BlueGen.ai –a spin-off of the Delft University of Technology– is a robust privacy-preserving data synthesizing platform that supersedes existing methods, such as data anonymization, both in terms of privacy and data usability. It generates data that mimics real datasets reliably using the power of AI. BlueGen features a novel distributed framework that ensures the client’s data stays safe on-premises. Moreover, it incorporates differential privacy to bolster privacy with mathematical guarantees. BlueGen can potentially improve the development of digital tools and skills for tackling problems collectively by creating an efficient data-driven ecosystem that safely fosters sharing insights across industries and disciplines. In addition, it may be used to re-distribute valuable datasets possessed by big corporations to the general public, allowing equal opportunities in society to work with datasets.