Job Description
Note:
The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The AI Security Researcher will lead investigations into vulnerabilities and build security frameworks to protect advanced AI systems against threats. 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 Skills • 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 • 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 • Experience contributing to open source projects • Experience in the broader cybersecurity domain is a plus, but not essential Company Overview • SandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science.
It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • SandboxAQ has a track record of offering H1B sponsorships, with 6 in 2025, 6 in 2024, 3 in 2023, 5 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job