Zenithon is seeking a data-focused role to transform simulation and diagnostic data into ML-ready datasets. You’ll clean, calibrate and validate diverse data sources, extract meaningful quantities, and define schemas and metadata for scalable pipelines.
You’ll automate flows at terabyte-scale and work with physicists and ML researchers to tailor data for training. You’ll join a small team in London or San Francisco, contribute from day one, and shape how data powers frontier physics models at
Scientific ML Data Engineer for Plasma Research employer: Zenithon
Zenithon provides a collaborative work environment where employees can engage in groundbreaking research in plasma physics. The company supports professional growth, particularly for early-career scientists, by offering opportunities to work with advanced technologies and methodologies. Employees are integral to shaping the future of semiconductor plasma etching and diagnostics.
