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 Team
The SandboxAQ AI Generation Engine team's mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale," with a focus on quantitative AI and rapid prototyping. More specifically, the SAIGE team aims to:
- Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI.
- Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines.
- Support internal AI teams and help build new AI applications and infrastructures across SandboxAQ’s business units.
Our team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge.
About the Role
SandboxAQ is a pacesetter for AI LQM product development, and this role will drive the technical execution of those efforts. You will be responsible for the technical design, architecture, and development of LQM prototypes and products in line with the AI strategy. You have deep technical expertise and are capable of contributing in a hands-on way to research and development as well as planning and mentoring / managing a team of engineers.
What You’ll Do
About You
- Degree in Computer Science, AI, Mathematics or related field
- Strong history of successfully delivering AI products to users / enterprise customers
- Demonstrated ability to lead a rapid prototyping team
- History of world-class technical contributions at the frontier of AI research
- Managerial or tech leadership experience, in particular in AI space
- Excellent communication and interpersonal skills
The US base salary range for this full-time position is expected to be $263K - $368K 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.
