SirenOpt is accelerating sustainable and smart manufacturing of advanced materials using intelligent characterization and real-time decision-making to drive the creation of innovative, high-performance products that fuel the advancement of society. Backed by Activate Venture Partners.
About the role
Job Title: Senior/Staff Scientist - Algorithms & Data Products We’re looking for a Senior Scientist, Algorithms & Data Products to join our core R&D team, working at the heart of our manufacturing intelligence platform – not in a commercial analytics role. You’ll turn rich plasma sensor signals into trusted metrics and models and to build the automation that powers our next generation of experiments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Advanced degree (PhD or MS with substantial experience) in a quantitative field such as physics, applied mathematics, statistics, electrical engineering, computer science, or similar, with a strong focus on data analysis and modeling
- 6+ years of hands on experience (industry or postdoc) building models for real world sensor or process data, not just web/NLP/recommender systems
- A track record of catching problems in data that others missed – artifacts, drift, miscalibration, or a pipeline quietly producing plausible nonsense
- Strong Python skills and experience with scientific computing/ML tooling (NumPy, SciPy, pandas, scikit learn, familiarity with PyTorch or similar is a plus)
- Demonstrated ability to design and execute end to end analysis workflows: data ingestion and cleaning, feature engineering, model training, validation, and reporting
- Experience with at least one of: spectroscopy, imaging, time series/multivariate process data, or other high dimensional measurement modalities
More about this role
At SirenOpt®, we are building the manufacturing intelligence layer for advanced materials. We help manufacturers visualize, understand, and control the material behavior that determines yield, performance, and safety across energy, aerospace, automotive, electronics, and semiconductor applications.
We are working on this problem because advanced materials are becoming more critical and more complex, but the tools used to manufacture them have not kept pace. Manufacturers still lack real-time visibility into the small variations that shape quality on the line. We care because those invisible variations cause scrap, waste energy and materials, create higher costs, inconsistent product performance, and introduce avoidable safety risks.
We developed PlasmaSens™, our manufacturing intelligence platform, to close that visibility gap and to lay the foundation for truly autonomous manufacturing.
We are uniquely suited to solve this problem because our expertise and our platform connect material science, plasma physics, machine learning, and manufacturing in one system. The same core technology works in-line, at-line, and off-line, and across form factors ranging from electrodes and wafers...
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