Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As a Staff ML Research Scientist specializing in Co-Folding and Affinity at SandboxAQ, you will play a pivotal role in advancing the company’s Large Quantitative Models (LQMs) to revolutionize drug and materials discovery by pioneering state-of-the-art deep learning architectures that directly impact life sciences innovation.
- • Your work will bridge cutting-edge research and commercial product development, transforming scientific breakthroughs into scalable, production-ready capabilities within SandboxAQ’s software suite, thereby accelerating the creation of novel molecules and medicines for global health and industrial challenges.
- • You will join a multidisciplinary, high-impact R&D team composed of experts in AI, chemistry, physics, mathematics, and engineering, operating within a culture that values creativity, scientific rigor, entrepreneurial ownership, and collaborative problem-solving to tackle some of the world’s most complex challenges.
- • In this role, you will drive technical vision and scientific excellence by mentoring junior researchers, shaping internal and external research strategy, publishing high-impact work in top-tier venues, and establishing SandboxAQ as a leader in AI-driven biopharma innovation.
- • You will gain the opportunity to architect next-generation ML systems from concept to production, lead interdisciplinary research initiatives, and deepen your expertise in structure-based affinity modeling while contributing to meaningful scientific and product advancements with real-world applications in drug discovery pipelines.
🎯 Requirements
- • PhD in Computer Science, Computational Chemistry, or a closely related field, with specialized knowledge in structure-based deep learning for affinity or co-folding modeling.
- • Minimum of 4 years of post-PhD experience, including substantial industry experience, demonstrating a proven ability to deliver scientific impact that translates into tangible product outcomes.
- • Hands-on expertise in developing and deploying leading-edge co-folding and/or affinity prediction models from proof of concept through to productionized workflows using Python and modern ML frameworks such as PyTorch or JAX at scale.
🏖️ Benefits
- • Competitive base salary supplemented by performance-based incentives or bonuses and equity participation, reflecting the seniority and impact of the role.
- • Comprehensive medical, dental, and vision coverage for employees and dependents, with significant employer contributions to premiums, alongside retirement savings plans featuring company matching.
- • Generous paid time off, company-wide seasonal breaks, and support for flexible work arrangements to promote sustainable performance and work-life balance.
- • Access to career development resources including on-the-job learning, cross-functional collaboration, and internal learning and development programs to support continuous professional growth.
Skills & Technologies
About SandboxAQ Inc.
SandboxAQ is an enterprise AI company spun out of Alphabet in 2022, focused on applying large quantitative models to solve complex problems in cybersecurity, encryption, sensing, and simulation. Its software and hardware solutions combine AI with quantum-inspired methods to help government and Fortune 500 clients secure data, accelerate materials discovery, and optimize sensing for healthcare and navigation. Based in Palo Alto with global offices, the company partners with large systems integrators and cloud vendors to deploy scalable, physics-aware AI platforms for defense, life sciences, and financial services organizations.
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