Machine Learning Scientist The AI Simulation (AI Sim) division at SandboxAQ applies physics and AI simulation to problems in drug discovery and the material sciences. You will work within a highly skilled, multidisciplinary team of computational chemists, physicists, AI experts, and software engineers, on a generative platform that is used across both application areas. We are looking for a Machine Learning Scientist to help build the generative engine at the centre of SandboxAQ's material discovery work. The platform finds compounds that match a desired property profile by navigating chemical space while balancing multiple competing objectives. You will: Implement, extend, and optimize frontier generative architectures for material discovery. Own the interface between the generative engine and the property predictors that supply its reward signal. Identify, ingest, and quality-control the data these models are trained and evaluated on. Turn the models you build into production capability that discovery scientists across the company can run. We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.
Compensation:
Competitive base salary commensurate with experience, plus equity and performance-based incentives.
Benefits:
Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave.
Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery.
Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth.
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
