Research Engineer, Synthetic Data (Singapore Time)
Build and improve synthetic data pipelines for AI agents by designing realistic, diverse training tasks, developing generation and validation tools, and measuring how tasks affect model performance.
CS GROUP, together with HE Space and Sopra Steria, has been successfully providing digital end-to-end systems and engineering services for more than 40 years.
With over 2000 employees worldwide, we combine advanced and unique skills in both information technology and space data engineering. We combine entrepreneurial agility with cutting-edge technological expertise.
CS GROUP is a leading provider of operational systems and an important and trusted long-term partner for space and defence organisations.
At CS GROUP, we are driven by innovation and we value our most important asset: our people.
Within the Remote Sensing and Products (RSP) Division, the Passive Microwave Imaging Team is responsible for the scientific development of the MWI (MicroWave Imager) and ICI (Ice Cloud Imager) missions onboard the upcoming Metop-SGB platform, as well as the future CIMR (Copernicus Imaging Microwave Radiometer) satellite mission. Following the imminent launch of Metop-SGB1, the team will focus primarily on the Calibration and Validation (Cal/Val) of the MWI and ICI products and the engagement with the user community. Transitioning into the operational phase for MWI and ICI the team will also implement continuous monitoring of the MWI/ICI product quality, provide user support, perform internal studies and contribute to the preparatory activities of upcoming programs and missions involving Passive Microwave and sub-millimetre (PMW) radiometers, such as CIMR. Within the team you will have the following responsibilities:
The following experience would be advantageous:
This job is located in Darmstadt.
If you think you have what it takes for this job, please send your CV (in English and in Word or PDF) by clicking on the button “Apply for this job” quoting job DE-HP-26185.
An exciting and dynamic international working environment awaits you!
Inclusive and committed employer, our company works every day to combat all forms of discrimination and promote a respectful working environment. That's why, committed to gender diversity and overall inclusivity, we encourage all applications and profiles.
Inclusive and committed employer, our company works every day to combat all forms of discrimination and promote a respectful working environment. That's why, committed to gender diversity and overall inclusivity, we encourage all applications and profiles.
Last apply date: 28/11/2026!
Build and improve synthetic data pipelines for AI agents by designing realistic, diverse training tasks, developing generation and validation tools, and measuring how tasks affect model performance.
Design and build synthetic data pipelines that turn domain-specific workflows into realistic, scalable training tasks, then evaluate what those tasks teach AI models and agents.
Build and own production systems that detect and anonymize sensitive data before AI training, balancing privacy protection with the data utility needed for downstream processing and evaluation.
Build and own production systems that detect and anonymize sensitive data before AI training and processing, balancing privacy protection with the data utility needed for downstream applications.
Build and operate the infrastructure for post-training open-weight models, spanning distributed training and rollouts, agent environments, research tools, and reliable production integration.