SirenOpt
SirenOpt is seeking a Data Scientist to join the Applications Engineering team, where you will build and deploy machine learning models to transform complex sensor signals into actionable predictions about material properties. This forward-deployed, customer-adjacent role involves working directly with customer datasets to execute proof-of-concept studies, validate model performance, and translate results into product improvements. The position requires close collaboration with software and hardware engineering teams to move models from research into production.
Headquarters
San Leandro, California, United States
Company Size
11-50 employees
Founded
2022
SirenOpt builds manufacturing-intelligence platforms that deliver non-destructive, real-time materials characterization and classification for inline and off-line production use. Their sensor + analytics systems let manufacturers identify, monitor, and sort materials during production to improve quality, yield, and traceability. Deployed where fast, accurate material decisions matter, SirenOpt combines hardware, software, and machine learning to turn sensor data into actionable process insights.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SirenOpt.