Jobs at SandboxAQ

The Staff ML Research Scientist will lead research in deep learning for drug discovery, develop innovative models, and integrate them into commercial software. Responsibilities include mentoring junior researchers and contributing to scientific publications.

Lead FP&A activities including annual and rolling forecasts, budgeting, variance analysis, program-level financial reporting, and building scalable models and dashboards. Partner with business leaders, operations, GTM, accounting and legal to translate strategy and customer commitments into financial plans, revenue commitments, and program performance metrics while strengthening FP&A controls and automation in a high-growth environment.

Develop and iterate deep learning models for protein-ligand co-folding and structure prediction, benchmark performance, integrate validated models into production drug-discovery pipelines, analyze structural and sequence data, communicate findings, and collaborate with multidisciplinary teams to scale research into products.

The Manager of Clinical Research leads AQMed's clinical program, overseeing multi-center studies globally, managing external partners, and ensuring regulatory compliance while integrating AI tools to enhance efficiency.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

Lead microkinetic and reactor-level modeling workflows for catalytic processes, collaborating with industrial partners, and mentoring junior scientists while refining models based on experimental data.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

Lead the Magnets vertical: define scientific roadmap, build and mentor a multidisciplinary team, integrate first-principles, multi-scale and ML modeling with experimental DBTL, manage IP translation and external partnerships, and drive commercialization and program engagements with national labs, industry, and defense partners.

Lead month-end close and build government cost accounting and compliance infrastructure. Design cost allocation, indirect rates, audit-ready reporting, controls, policies, and support government/DCAA audits while partnering cross-functionally to scale finance operations.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

Join SandboxAQ as a Scientific Software Engineer to develop AI-driven computational chemistry tools and maintain production-quality software, collaborating with experts to enhance drug discovery processes.

The Director of Product Management will lead product strategy for AI solutions in finance, focusing on innovation and collaboration across disciplines while managing customer relationships and rapid prototyping of financial applications.

The role involves end-to-end machine learning lifecycle management, including data processing, model development, rigorous testing, and production deployment, focusing on large quantitative models for AI-first products.

The Machine Learning Engineer will manage the ML lifecycle, develop models, ensure performance, and collaborate with a diverse team to build AI-first products.

As a Staff ML Research Scientist, you will develop advanced ML models for drug discovery, integrating them into products and mentoring junior researchers.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

Act as the technical lead between LQMs and client contracts: diagnose workflows, design and deploy software and infrastructure, wrap scientific logic, integrate agentic systems, and own end-to-end compute and data pipeline deployments to enable scientific delivery.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

As a Staff Forward Deployed Engineer, you'll bridge technical gaps between large models and clients, ensuring successful deployments in drug discovery and simulations.