Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)
Core
Embed with internal biotech and materials science teams and external customers to rapidly build AI-fueled engineering solutions that transform research capabilities and optimize industrial manufacturing processes.
Role type
Staff Forward Deployed Engineer (Physical Sciences)
Builds
Custom agentic scientific workflows, real-time data pipelines, and domain-specific tools for data analysis, process optimization, and molecular modeling.
Domain
Industrial manufacturing, biotech, materials science, and scientific computing.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Chemistry and materials science domain expertise, full-stack development (backend, frontend, data), data engineering and ETL pipeline construction, complex/messy dataset handling, controls engineering, machine learning implementation, scientific computing libraries (NumPy, Pandas, SciPy, RDKit), modern web technologies (TypeScript, React).
Preferred skills
Customer-facing or consulting experience, depth in controls engineering and machine learning, familiarity with industrial instruments (PLCs, SCADA, MES, ERP).
Responsibilities
Develop and adapt domain-specific tools for data analysis and process optimization; deploy custom scientific workflows integrating with industrial instruments and data systems; build real-time data pipelines transforming scientific data into insights; create intuitive interfaces for AI/ML capabilities; architect scalable solutions from proof-of-concept to enterprise deployment.
Seniority
Staff, high-impact IC with broad generalist skills and deep specialization.