AI Security Researcher

SandboxAQ; Canada; Remote; CAD 254,000 - 319,000; Full time

Job summary

A leading AI solutions firm seeks an AI Security Researcher to advance AI security by researching vulnerabilities and developing protective frameworks. Ideal candidates hold a PhD in Computer Science with expertise in machine learning and security. This hands-on position promises extensive collaboration with a diverse team of experts and offers a competitive compensation range of $184K – $230K annually. Join us in tackling future threats in AI systems, with the freedom to innovate in a supportive environment.

Qualifications

• Deep expertise in AI/ML, security research, or both.
• Experience with adversarial attacks and secure model deployment.
• Hands-on experience in relevant frameworks.

Responsibilities

• Conduct research into vulnerabilities and exploits in AI systems.
• Build AI security frameworks and defensive mechanisms.
• Partner with engineering teams to integrate findings.

Skills

Machine Learning expertise

Security Research skills

Strong programming skills in Python

Education

PhD in Computer Science or related field

Tools

Adversarial LLM red-teaming

Model extraction

Data poisoning detection

Job description

Location

United States, Canada, United Kingdom, Switzerland

Employment Type

Full time

Location Type

Remote

Department

Cybersecurity

Compensation

• $184K – $230K

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

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. This is a hands‑on role where you’ll break things, fix them and then harden them for good. 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.

Core Responsibilities

• 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
• Partner with engineering and product teams to integrate your findings into real‑world systems
• 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

Required Qualifications

• PhD 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
• Hands‑on experience with at least one of the following: 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

Desirable Qualifications

• Experience contributing to open source projects
• Experience in the broader cybersecurity domain is a plus, but not essential

The US base salary range for this full‑time position is expected to be $184k – $230k 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.

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: $184K - $230K