Head of Applied AI
Head of Applied AI
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$ 263 - 368
1 Vacancy
Job Description
About SandboxAQ
SandboxAQ is a highgrowth company delivering AI solutions that address some of the worlds greatest challenges. The companys Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.
We are a global team that is techfocused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capitalbacked company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of likeminded people who value entrepreneurialism ownership and transformative impact.
About the Team
The SandboxAQ AI Generation Engine teams mission is to accelerate SandboxAQs mission of Deep Impact at Scale with a focus on quantitative AI and rapid prototyping. More specifically the SAIGE team aims to:
- Build nextgeneration AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI.
- Identify incubate prototype and launch new AI products for highpotential and longerterm use cases proving (or disproving) their viability as highimpact highly profitable business lines.
- Support internal AI teams and help build new AI applications and infrastructures across SandboxAQs 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 handson way to research and development as well as planning and mentoring / managing a team of engineers.
What Youll Do
Technical Ownership:
- Lead the development of AI models algorithms and prototypes that address realworld problems and customer needs
- Own the technical architecture and design of AI solutions ensuring rapid iteration scalability reliability and performance
- Work handson with the team contributing to code development model building and system design as needed
- Collaborate with crossfunctional team members to translate ideas into actionable and detailed work plans
- Collaborate with SandboxAQ business units to drive technical innovation across the company
Prototyping and Development:
- Lead the team in rapid iteration and prototyping cycles focusing on developing MVPs (Minimum Viable Products) for quick feedback and validation
- Drive experimentation to explore different AI methodologies and architectures to solve complex problems.
- Ensure technical excellence across the team guiding best practices in AI/ML development model training validation and deployment
- Enforce high standards of code quality testing and technical documentation across the team
Innovation:
- Create worldclass AI research output that is aligned with our product vision and is recognized as pacesetting in the research community
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 worldclass 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 fulltime 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 jobrelated skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Required Experience:
Director
Employment Type
Full-Time
