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SandboxAQ is a high-growth AI company spun out from Alphabet in 2022, delivering Large Quantitative Models (LQMs) that power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. The company is backed by leading growth capital investors and operates as a global, multidisciplinary team.
The AI team is seeking an AI Engineer to help build the future of agentic collaboration, trust, and ROI. The role focuses on three core areas: (1) Security—discovery, evaluation, red teaming, monitoring, and guardrails for agents; (2) Quality—measuring agent ROI and suggesting improvements; (3) Collaboration—bringing humans and agents together with shared context.
This is a hands-on role combining AI research rigor with software engineering discipline. You will break, fix, and harden systems for production. Key responsibilities include:
- Creating new agentic capabilities and frameworks for monitoring, guardrailing, and evaluating agents
- Performing classical ML tasks: exploratory data analysis, feature engineering, and fine-tuning models
- Translating AI research into applicable features and software engineering projects alongside Product and Research teams
- Rapidly iterating on prototypes based on feedback and evolving product needs
- Contributing production-ready code and delivering scalable software across the engineering organization
- Staying current with latest agentic developments and exploring new opportunities
You will work within a diverse team of ML experts, security specialists, mathematicians, and software engineers. The environment encourages creativity, collaboration, and transformative impact, with freedom to explore, collaborate, publish, and deploy.
REQUIREMENTS:
- MSc in Computer Science or related field with exposure to AI/ML (or equivalent demonstrated expertise)
- Deep expertise in AI/ML, software engineering, or AI security
- Strong programming skills in Python and relevant ML/agentic frameworks
- Demonstrated ability to work cross-functionally with high degree of end-to-end ownership, delivering real-world outcomes
- Ability to pick up other programming languages and technologies as needed to ship scalable, reliable software
HIGHLY DESIRED:
- PhD in Computer Science or related field with focus on AI/ML
- Hands-on experience with agent orchestration, agent harnesses, agent teams, jailbreaking/prompt injection, red teaming, data poisoning/evasion attacks, secure model deployment, sandboxing, or detection/monitoring for AI misuse
- Open source project contributions
- Fast-paced startup environment experience
- Cybersecurity background (a plus, not essential)
