Graduate Researcher

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. 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 SandboxAQ Cybersecurity R&D team is looking for an AI Security Researcher to help us build the future of AI security where the world’s most advanced AI systems are tested, protected and hardened against the next generation of threats.
A successful candidate thrives at the intersection of machine learning, security and software engineering. You’ll lead investigations into how AI systems can fail, and build the tools, rules and frameworks that keep them secure. You’ll have extensive freedom to explore, collaborate, publish, and deploy, shaping the field of AI security from both the offensive and defensive sides.
We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker.
You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. We’re not another security vendor chasing patch cycles - we want to make an impact, and we want to do it fast.
Conduct original research into vulnerabilities, exploits, and adversarial behaviors in LLMs, LQMs, agents, and related AI frameworks
Build and operationalize AI security frameworks, evaluations and red teaming tools, and defensive mechanisms to protect models and data
Lead or contribute to responsible disclosure and research publications that advance the state of the art
Stay on the edge of the latest in AI interpretability, alignment, and adversarial robustness, and use that knowledge to make AI safer for everyone
PhD or Masters in Computer Science or related field with a focus on Machine Learning or Cybersecurity
Deep expertise in AI/ML, security research, or both - with a proven ability to find and fix real vulnerabilities
Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse
Strong programming skills in Python, and relevant ML and/or agentic frameworks
Experience contributing to open source projects
The US base salary range for this full-time position is expected to be $184k - $230k per year. 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.
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.
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.
Read: Guidance for candidates on using AI Tools in interviews
Compensation Range: $181K - $285K