ML Research Engineer, SandboxAQ

• Academic Foundation: PhD, or research-focused MSc, in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods
• Software Excellence: Staff (5+ years) industry experience developing productionized software in professional teams
• Structural Biology Exposure: Experience or training in data-science related tasks related to structural biology
• Research Translation: Expertise translating research papers into concrete ML software artifacts
• Product Lifecycle Mastery: Experience supporting models in external-facing products, demonstrating the ability to bridge the gap between "research code" and "product code"

Desirable

• The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and impact driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines
• As a ML Research Engineer, you will bring cutting edge research into production-grade reality, tasked with making in silico design the dominant paradigm in drug discovery
• Your central purpose is to architect, scale, and optimize the scientific codebases that power our LQMs
• Over your first year, you will drive the transition of high-impact prototypes into robust products, orchestrate distributed training pipelines on world-class GPU infrastructure, and pioneer hardware-level optimizations that push the boundaries of computational chemistry
• Research, Architect, and Scale: Bring novel ideas and the content of scientific papers into high-performing and robust scientific code
• ML Engineering: Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks
• Ownership of the Lifecycle: Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage