Data & ML Engineer – Fusion Lab Data Platform

Fusionality; Ecublens; On-site; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Equity compensation

Immigration assistance

Job summary

Fusionality is delivering a data-driven platform to enable real-time monitoring and control of fusion plasmas. We seek a Data / Machine Learning Engineer to turn large, heterogeneous experimental data into clean, labeled datasets and to build ML-assisted labeling and event detection within a scientific data ecosystem.

You will own data pipelines, collaborate with physicists and engineers, and contribute to data architectures from day one in Lausanne, Switzerland.

Qualifications

• Experience building data pipelines for large scientific or industrial time-series data.
• Proficiency in SQL and NoSQL databases; familiarity with Time Series databases.
• Experience applying ML to time series with Python (PyTorch/JAX).
• Strong software engineering habits: testing, reproducibility, data versioning.

Responsibilities

• Build, maintain and run data pipelines for high-quality datasets.
• Develop ML-assisted labeling and event detection on fusion data.
• Ensure data provenance, calibration metadata and automated validation.
• Collaborate with physicists validating datasets and labels.
• Work with computational scientists and control engineers to integrate data with models.

Skills

Time-series pipelines

SQL/NoSQL databases

Python ML (PyTorch/JAX)

Software engineering practices

Independent research/PhD

Education

PhD or published code

Tools

TimescaleDB

InfluxDB

Dagster

Airflow

DVC

Job description

Fusionality is delivering a data-driven platform to enable real-time monitoring and control of fusion plasmas. We seek a Data / Machine Learning Engineer to turn large, heterogeneous experimental data into clean, labeled datasets and to build ML-assisted labeling and event detection within a scientific data ecosystem.

You will own data pipelines, collaborate with physicists and engineers, and contribute to data architectures from day one in Lausanne, Switzerland.