Synthetic Data Engineer

Role overview Translate current research in synthetic data and privacy into software that addresses real-world data challenges. You’ll work with customers and the engineering team to generate high-quality synthetic data, improve support for different data types, and strengthen product systems for complex datasets.

Responsibilities - Work with customers to help generate useful synthetic data while protecting privacy. - Implement algorithms for processing different data types. - Design robust software that handles the complexity of real-world data. - Investigate failure cases and use findings to improve synthetic data quality. - Build product features and systems as part of the software engineering team. - Contribute to work with enterprise customers across Europe.

Requirements - Background in computer science, artificial intelligence, or a related field. - Analytical, machine learning, and coding skills. - Ability to work with complex data and translate research into practical solutions. - Assertive, entrepreneurial approach to collaboration and problem-solving.

Benefits and work setup - Based in The Hague, Netherlands, with remote work indicated. - Individual development goals and opportunities to grow into senior roles.