Senior/Staff Scientist - Algorithms & Data Products

The role

You will design and build algorithms that map multi-modal sensor data into material fingerprints and properties. You will own end to end modeling pipelines and design automated experimental protocols that coordinate hardware and data capture.

What you will do

• Design and build algorithms that map multi-modal sensor data into material fingerprints and properties.
• Work with systems, plasma, and applications engineers to design and automate experiment protocols.
• Shape first generation models and metrics for battery electrodes and ceramic barrier coatings.
• Own end to end modeling pipelines from raw sensor data to customer facing metrics and alerts.
• Develop multi modal representations of plasma-material interactions.
• Design and implement automated experimental protocols that coordinate hardware, robotics, sensing, and data capture.
• Work with embedded, controls, and software engineers to design deployment architectures.
• Define performance metrics, validation strategies, and monitoring for models.
• Own the trustworthiness of data by interrogating raw and derived data for artifacts and drift.
• Build checks to catch bad results before they reach models or customers.

Required qualifications

• Advanced degree (PhD or MS with substantial experience) in a quantitative field such as physics, applied mathematics, statistics, electrical engineering, computer science, or similar.
• 6+ years of hands on experience building models for real world sensor or process data.
• Track record of catching problems in data such as artifacts, drift, or miscalibration.
• Strong Python skills.
• Experience with scientific computing/ML tooling (NumPy, SciPy, pandas, scikit learn).
• Demonstrated ability to design and execute end to end analysis workflows.
• Experience with at least one of: spectroscopy, imaging, time series/multivariate process data, or other high dimensional measurement modalities.
• Solid grounding in statistics (hypothesis testing, confidence intervals, experimental design, control charts, etc.).
• Experience designing or implementing automated experimental workflows or test rigs that integrate hardware and software.
• Proven ability to communicate technical results clearly, in writing and in person.
• Comfortable working in lab and/or industrial environments.

Nice to have

• Familiarity with PyTorch or similar
• Comfort working with hardware APIs (e.g., vendor SDKs, REST/gRPC services, serial/fieldbus interfaces)
• Experience with multi-modal data fusion
• Background in plasma physics, optical diagnostics, materials science, or related fields
• Experience deploying models into edge or real-time systems
• Familiarity with lab automation or experiment orchestration tools
• Experience with experiment tracking, MLOps, or data-centric tooling
• Prior work with battery manufacturing, roll-to-roll processes, or high-temperature coatings

Benefits

• Equity and Salary compensation depends on experience
• Health, Dental, Vision plans provided
• 401k matching provided
• 20 days of PTO per year
• approximately 15 paid US holidays per year

About the company

SirenOpt is building the manufacturing intelligence layer for advanced materials. They use the PlasmaSens platform to connect material science, plasma physics, machine learning, and manufacturing.