Own the AISim Data Platform roadmap and knowledge graph, shaping how scientific data is ingested, reconciled, governed, and made usable across drug discovery and materials design.
Sandboxaq jobs
SandboxAQ uses AI and advanced computing to develop technologies for societal challenges.
35 open roles at Sandboxaq
Own the AISim Data Platform roadmap and knowledge graph, shaping how scientific data is ingested, reconciled, governed, and made usable across drug discovery and materials design.
Build technology-partner marketing programs that grow awareness, credibility, and pipeline for AI simulation capabilities, translating scientific results into partner-ready content and tracking program performance.
Own the catalysis product strategy and roadmap, translating scientific and customer needs into AI-driven materials discovery capabilities while delivering program commitments and building a recurring-revenue commercial business.
Lead platform architecture and build reliable, scalable infrastructure for AI workloads, while mentoring engineers and improving developer experience, system performance, and operational efficiency.
Own the development and deployment of machine-learned force fields for PFAS substitution, from generating first-principles training data and validating models to delivering reliable property predictions for molecular screening.
Develop and deploy machine-learned force fields for PFAS substitution, from generating first-principles training data and building reproducible workflows to validating property predictions and scaling models for materials discovery.
Leads the scientific strategy and team developing manufacturable, high-performance permanent magnets, connecting computational materials discovery and AI modeling with experimental validation, industrial partnerships, and commercialization.
Machine Learning Scientist, Generative Molecular Design (Material Discovery)
Build and productionize generative machine-learning systems for material discovery, steering models through chemical space with property predictors, simulation oracles, and multi-objective rewards.
Build and productionize generative machine-learning systems for material discovery, connecting models to property predictors and data workflows to guide multi-objective exploration of chemical space.
Build, secure, and scale multi-cloud Kubernetes infrastructure and Terraform pipelines while supporting developers, improving engineering workflows, and enabling reliable AI and physics-based simulation systems.
Lead a small AI engineering team while building and shipping production agent capabilities for security, evaluation, monitoring, and human-agent collaboration, translating research into reliable product features.
Lead a small AI engineering team while building production agent capabilities for security, quality, and human-agent collaboration, translating research into reliable software and setting technical direction.
Build and ship production AI features for agentic collaboration, trust, and ROI, including agent monitoring, guardrails, evaluation, and collaboration, while translating research into scalable software.
Build and ship production AI features for agentic collaboration, trust, and ROI, including agent monitoring, guardrails, evaluation, and collaboration, while translating research into scalable software.
We are seeking a Director, Strategic Partnerships & Alliances to build and execute the partnership strategy supporting our semiconductor-materials programs for our CHIPS funding and broader commercial ambitions.
Leads the scientific strategy and team for permanent-magnet discovery, connecting computational materials modeling, AI, and experimental validation to develop manufacturable, high-performance magnet technologies.
Own and negotiate complex commercial agreements across customer deals, research collaborations, partnerships, data licensing, and vendor contracts, while building scalable legal processes for a growing business.
Own the catalysis product strategy and roadmap, translating scientific and customer needs into AI simulation capabilities while delivering program commitments and building a commercial product business.
Bridge generative chemistry discovery with partner validation by defining material targets, ranking candidate molecules, assessing semiconductor process fit, and translating experimental results into actionable improvements.
Set and evolve SandboxAQβs brand across its business domains, create high-craft visual work, and own the corporate website from design through build and maintenance.
Define how users build, evaluate, and trust AI agents by shaping product direction and designing clear, cohesive experiences across developer tools, web consoles, collaboration spaces, onboarding, and documentation.
Drive computational discovery of next-generation permanent magnets by running atomistic simulations, building machine-learning workflows, and validating candidate materials with experimental collaborators.
Build the AI Simulation marketing operations and analytics function, owning the martech stack, attribution, lifecycle programs, and reporting to connect marketing activity with pipeline, revenue, and investment decisions.
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