Senior/Staff Scientist - Algorithms & Data Products

What you'll do

• Develop end-to-end modeling pipelines and material representations from raw sensor data to customer-facing metrics and alerts.
• Design automated experimental protocols integrating plasma hardware, robotics, sensing, and data capture.
• Validate and monitor models, data quality, and deployment performance across benchtop products and pilot manufacturing lines.

What they ask for

• Advanced degree (PhD or MS with substantial experience) in a quantitative field, with a strong focus on data analysis and modeling.
• 6+ years of hands-on experience building models for real-world sensor or process data, in industry or postdoc.
• Strong Python skills and experience with scientific computing/ML tooling; demonstrated end-to-end analysis workflow experience.
• Experience with at least one high-dimensional measurement modality and automated experimental workflows or hardware-software-integrated test rigs.

Nice to have

• Experience with hardware APIs, multimodal data fusion, or deploying models to edge or real-time systems.
• Experience in plasma physics, materials science, lab automation, MLOps, or battery manufacturing and related processes.

Pay

$140,000 — $190,000 USD (base salary)

Tools

Python, NumPy, SciPy, pandas, scikit learn, PyTorch, LabVIEW, PLC/SCADA

AI focus

Develop machine-learning models and data representations for plasma-material interactions, automate experiments, and deploy and monitor models for manufacturing applications.