Jobs at SandboxAQ
All open roles at SandboxAQ in one place - salaries, locations, work format and one-click apply.
Jobs from career site
Senior Research Scientist in Battery Materials Simulation (AI)
United Kingdom, United States
Research Scientist in Materials Simulation (AI)
United Kingdom, United States
Chief Scientist (AI Simulation)
United Kingdom, United States
Staff Software Engineer (AI)
United Kingdom, United States
Financial Planning & Analysis Manager (AI)
United Kingdom, United States
Research Scientist (AI)
United States
Staff Research Scientist (Catalyst Simulation)
United States
Technical Program Manager (AI)
United States
Manager of Clinical Research (Medtech)
United States
Staff ML Research Scientist (AI)
United Kingdom
Software Engineer (AI Simulation)
United States, Canada
Product Research Scientist (AI)
Canada
Director Of Product Management (AI)
Canada
Principal Software Engineer (Medical Devices)
United States
Machine Learning Engineer (AI)
United Kingdom, United States
Product Research Scientist (AI)
United Kingdom, United States
VP of Operations (AI Simulation)
United States
Staff Forward Deployed Engineer (AI)
United States
Staff Technical Product Manager, Ai Sim (Life Sciences)
United States
Sr. Staff Technical Product Manager, Ai Sim (Life Sciences)
United States
Staff ML Research Scientist (AI)
Canada
Staff ML Research Scientist (AI)
United States
Director Of Product Management, AI Generation Engine (Fintech)
United States
Senior Computational Chemist, Drug Discovery (AI)
United Kingdom
Staff Machine Learning Engineer (AI)
United States
Offices & locations
Working at SandboxAQ
SandboxAQ builds AI Large Quantitative Models (LQMs) for drug discovery, materials, chemistry and finance. Explore remote research and engineering roles.
What SandboxAQ builds
SandboxAQ delivers AI solutions built on its Large Quantitative Models (LQMs), which power advances across life sciences, financial services, navigation, cybersecurity and other sectors. Having emerged from Alphabet Inc. as an independent company in 2022, its teams combine physics-based simulation, proprietary datasets and machine learning. The open roles reveal the applied work behind this: research scientists and engineers working on battery materials, catalysts and rare-earth-free magnets tied to semiconductor supply chains, drug-discovery models for protein-ligand co-folding, plus product, program-management and finance roles supporting these deep-technology programs.
Frequently asked questions
Where are SandboxAQ's roles based?
Roles are based across the US (San Francisco, Palo Alto, Los Angeles, Seattle, New York, Boston, Washington DC) and the UK (London, Cambridge, Oxford), with geographic pay tiers also defined for Canada.
Does SandboxAQ hire remotely?
Yes. The sampled postings list a Remote location type with geographic pay tiers spanning the US, UK and Canada.
Which teams are hiring?
Hiring spans research science, AI and machine-learning engineering, software engineering, product and program management, and finance. Many roles sit within the AI Simulation group (ChemSim and BioSim), covering battery materials, catalysis, magnets, drug discovery and medtech.
What does SandboxAQ build?
AI solutions built on its Large Quantitative Models (LQMs), applied to life sciences, financial services, navigation and cybersecurity. Sampled roles focus on physics-based and machine-learning simulation for battery materials, rare-earth-free magnets, catalysts and drug discovery.