SandboxAQ

SandboxAQ

Staff ML Research Scientist, Co-Folding and Affinity

United States · Staff+

Sponsorship not specifiedDetected 116 days ago
PythonMachine LearningDeep LearningPyTorchEpicResearchLeadershipCollaboration

About the role

  • 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 Staff ML Research Scientist focusing on Co-Folding & Affinity, you will occupy a senior position architecting our ML biopharma capabilities.
  • Your central purpose is to redefine the state-of-the-art in structure prediction and binding affinity, transforming these breakthroughs into core components of our software suite.

Responsibilities

  • Scale High-Performing Teams: Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration.
  • Frontier Technical Skills: Direct, hands-on experience developing and executing leading-edge co-folding and/or affinity prediction models, from proof of concept to productionized workflows.
  • Interdisciplinary Leadership: Relevant postdoctoral experience that demonstrates an ability to lead research at the intersection of AI and physical sciences.
  • Deep Biopharma Context: Direct experience working within drug discovery pipelines, understanding the specific challenges of lead optimization and hit-to-lead phases.
  • Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration.

Requirements

  • Experience functioning within a professional software team, including proficiency in Python and modern ML frameworks (PyTorch/JAX) at scale.
  • Professional Engineering Fluency: Experience functioning within a professional software team, including proficiency in Python and modern ML frameworks (PyTorch/JAX) at scale.

Nice to have

  • PhD in Computer Science, Computational Chemistry, or a related field, with specific focus on structure-based deep learned affinity modelling a plus.
  • World-Class Domain Expertise: PhD in Computer Science, Computational Chemistry, or a related field, with specific focus on structure-based deep learned affinity modelling a plus.

Skills

  • Postdoctoral Experience: In deep learned structure-based affinity models.
  • Commercial Success: Experience shipping commercial-grade software products within the biopharma or tech sectors.
  • Technical Vision: Experience setting the technical roadmap for a specialized research group or project.
  • Agentic Coding: Deep familiarity with agentic coding tools (e.g. Claude code, Codex).
  • WHY JOIN US?
  • Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Compensation

  • Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Benefits

  • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
  • Act as a technical beacon for the team, representing SandboxAQ scientifically and shaping its vision externally and internally.
  • Pioneer Novel Architectures: Drive the research and development of next-generation deep learning models for protein-ligand co-folding and affinity prediction.
  • We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

Company info

  • SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.
  • The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
  • We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties.
  • The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
  • At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact.
  • By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges.
  • Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
  • The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery.
  • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
  • 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.

Equal opportunity

  • All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
  • Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
  • If you need such an accommodation, please let a member of our Recruiting team know.
  • Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Visa & Work Authorization

  • ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
Apply directly at SandboxAQ →Create a free account for alerts like thisView SandboxAQ immigration profile

This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.