About SandboxAQ

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. 

About the Role

Our team is searching for a creative and agile researcher who thrives at rapid iteration between ambitious ideas in machine learning-driven materials discovery. The ideal candidate can swiftly prototype and test high-risk, high-reward hypotheses, with the aim of advancing the limits of next-generation energy storage. Although experience in energy storage is desirable, we encourage specialists in computational materials science who can apply their skills to energy applications and expedite discovery through AI-driven methods.

Responsibilities

• Drive innovation in machine learning-driven energy materials discovery by rapid prototyping and testing of bold hypotheses. 
• Develop quick-turnaround solutions using hybrid ML and computational chemistry methods, pursuing high-risk, high-reward research focused on energy storage. 
• Design and refine automated workflows for high-throughput materials screening. 
• Translate moonshot ideas into actionable research trajectories, effectively communicating insights to diverse audiences, from experts to non-experts. 
• Remain up to speed with emerging AI techniques, rapidly adapting external advancements to the materials science domain as appropriate. 
• Collaborate effectively with cross-functional teams of engineers, scientists, and domain experts to innovate, refine, or develop cutting-edge ideas and algorithms.
• Conduct large-scale synthetic data generation campaigns using simulation tools (DFT, MD, physics-based models) to study energy storage materials (interfacial stability, ion transport, degradation). 
• Publish findings in high-impact journals and present at conferences.

Qualifications

• Currently enrolled or recently completed a STEM PhD Program in Materials Science, Mechanical Engineering, Physics, Chemistry, Computational Science, or related fields.
• Extensive experience applying both (classical or ML-based) molecular dynamics and density functional theory for energy storage applications.
• Experience modeling electrochemical energy storage systems and strong understanding of their degradation mechanisms.
• Expertise in developing data pipelines for computational chemistry experiments.
• Preferred candidates have domain knowledge in battery materials, particularly for lithium-ion and other cell chemistries (e.g., cathodes, anodes, electrolytes).
• Fluency with Python and Linux.
• Strong research track record, evidenced by high-impact publications or relevant project contributions.

Details

• Start date: Year-round, on a rolling basis
• Duration: up to 1 year, with possibility of renewal
• Location: Remote

The US base salary range for this full-time position is expected to be $115k - $135k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.   We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.    Equal Employment 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.