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© All Rights Reserved. ApplyBlast.com
SandboxAQ
A ML Research Engineer at SandboxAQ architects, scales, and optimizes scientific codebases to power Large Quantitative Models for drug and materials discovery. The role involves translating cutting-edge research into production-grade software, orchestrating distributed training pipelines on GPU infrastructure, and bridging the gap between foundational research and external-facing products.
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.
12% above the average for this role
AI/ML Research Engineer
Manifold Bio
Life Sciences Application Specialist
The University of Sydney
Applied ML Engineer
Deepgram
Expression of Interest – Chem Bio
The AI Security Institute (AISI)
Foundations of Quantitative Life Sciences
McGill University
ML Scientist I / II, Foundation Models for Life Sciences
Lila Sciences