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.

SandboxAQ

Browse and apply for open jobs at SandboxAQ.

research-engineer

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

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.

• Bring content of scientific papers into promising, scalable ML algorithms; and translate these into high-performing and robust scientific code
• Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks
• Implement advanced software and hardware optimizations to maximize the efficiency of ML pipelines across distributed cloud GPU environments
• Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage

Staff ML Research Engineer

Architecting and optimizing leading-edge ML and physics-based models at SandboxAQ. Driving research to production for drug discovery and materials science.

research-scientist

• Drive the research and development of next-generation deep learning models for protein-ligand co-folding and affinity prediction.
• Bridge from research to commercial utility by equipping SandboxAQ’s software products with advanced predictive capabilities.
• Bring novel ideas and the content of scientific papers into the ideation, training, and benchmarking of complex models, ensuring they are optimized for large-scale, real-world drug discovery applications.
• Act as a technical beacon for the team, representing SandboxAQ scientifically and shaping its vision externally and internally.
• Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration.

Staff ML Research Scientist – Co-Folding, Affinity

Staff ML Research Scientist focusing on deep learning for drug discovery. Join SandboxAQ’s innovative team tackling global challenges through AI and collaborative research.

engineering-manager

• Grow a high-performing team of backend engineers, managing career development and fostering a culture of continuous growth and humility
• Manage sprint ceremonies and planning meetings to align team efforts with strategic product goals, maintaining a tight feedback loop between engineering and end-users
• Manage tech debt to an appropriate level in a fast-moving, early stage product. Constantly evaluate the tradeoff between building durable, hardened software and scrappy prototypes
• Manage delivery, scheduling, and timelines to optimize predictability of delivery
• Own the technical direction and architectural discussions for the AISim simulation and data platform, ensuring solutions are maintainable, scalable, and secure. Maintain coordination with other engineering teams where technical decisions have cross-team impacts
• Work closely with researchers, product managers, and internal stakeholders to translate complex scientific requirements into clear technical deliverables and implementation plans
• Remain hands-on with code reviews and critical design decisions, establishing best practices for CI/CD pipelines, API design, and cloud infrastructure

Senior Engineering Manager, AI Simulation

Engineering Manager leading a team of backend engineers for the development of AI simulation technology. Overseeing project execution and driving best practices in engineering.

artificial-intelligence

• Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts.
• Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows.
• Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements.
• Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle.
• Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges.

Staff Forward Deployed Engineer, AI Sim

Staff Forward Deployed Engineer in AI simulation at SandboxAQ, ensuring technical success of key partnerships. Collaborating with scientists to tackle drug discovery and chemical simulation challenges.

solutions-engineer

• Lead customer onboarding and implementation for AISim Physics and ML-based solutions, including technical discovery, solution design, configuration, and production readiness.
• Serve as a trusted technical advisor to Product and Engineering teams; run architecture workshops and technical deep dives.
• Build and maintain reference architectures, integration patterns, and implementation runbooks to improve time-to-value and reduce onboarding friction.
• Drive enterprise-grade deployment best practices across security, identity/access, networking, observability, reliability, and cost/performance optimization.
• Provide technical escalation support and root-cause analysis in partnership with Engineering; contribute to durable fixes and documentation.
• Contribute to field motions as needed (solution scoping, demos, proof-of-value plans, RFP/security responses).

Staff Solutions Architect, AI Sim

Principal Solutions Architect for SandboxAQ's AI Simulation division, focused on customer onboarding and technical integrations. Join a dedicated team shaping AI solutions globally.

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.

SandboxAQ

About the company

Open jobs

5 jobs found

Staff ML Research Engineer

SandboxAQ

Staff ML Research Scientist – Co-Folding, Affinity

SandboxAQ

Senior Engineering Manager, AI Simulation

SandboxAQ

Staff Forward Deployed Engineer, AI Sim

SandboxAQ

Staff Solutions Architect, AI Sim

SandboxAQ