SandboxAQ
In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.
Open Positions at SandboxAQ
6 open positions
Build production-grade machine-learning systems that accelerate drug and materials discovery. This role bridges advanced research, scientific software engineering, distributed model training, and computational chemistry optimization.
Join SandboxAQ as an ML Research Engineer to transform cutting-edge research into production-grade solutions for drug and materials discovery.
Build production-ready computational chemistry and AI simulation software at SandboxAQ, bridging scientific R&D prototypes with reliable platform implementations. You’ll collaborate closely with experts in chemistry, physics, AI, and software engineering to advance drug discovery capabilities.
Join SandboxAQ’s founding SAIGE engineering team to build and productionize Large Quantitative Models and agentic AI systems. You’ll own the full ML lifecycle, from data and experimentation through evaluation, optimization, and scalable deployment.
Join SandboxAQ’s founding AI Generation Engine team to build and productionize innovative AI products powered by Large Quantitative Models and agentic frameworks. You’ll own the end-to-end ML lifecycle while rapidly turning advanced AI concepts into scalable, real-world products.
Lead end-to-end technical delivery for scientific client engagements by building software, orchestrating cloud compute, and integrating SandboxAQ’s LQMs and agentic systems. This autonomous, customer-facing role combines software engineering with drug discovery and chemical simulation challenges.