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© All Rights Reserved. ApplyBlast.com
SandboxAQ
SandboxAQ is seeking a Machine Learning Scientist to build and optimize the generative engine for material discovery, focusing on navigating chemical space and balancing multiple objectives. The role involves implementing frontier generative architectures, managing data ingestion and quality control, and integrating property predictors to drive the generation process. The successful candidate will collaborate with multidisciplinary teams to advance the company's AI simulation capabilities in drug discovery and material sciences.
Headquarters
Palo Alto, California, United States
Company Size
51-200 employees
Founded
2021
SandboxAQ builds AI and advanced-computing solutions that combine large-scale AI, simulation, and next‑generation computing (including quantum-aware techniques) to solve complex scientific, security, and sensing problems. Its product suite includes AI simulation platforms (AQBioSim, AQChemSim, AQMed), large quantitative models, AI sensing and navigation (AQNav), and cryptography and cybersecurity tools such as AQtive Guard for quantum-safe key management. SandboxAQ serves global organizations across research, defense, and enterprise markets and supports education and knowledge sharing through residencies, scholarships, and a publications library.
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 SandboxAQ.
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