AI Security Researcher

Apollo Research

$214K — $280K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in hands-on security roles, focusing on technical aspects not just compliance.
  • Experience with offensive security, particularly in threat modeling or red teaming.
  • Ability to think structurally about threat modeling and failure modes, with coding and infrastructure comprehension.
  • An engineering mindset, treating security as a problem to be solved.
  • Comfortable in a fast-paced, ambiguous startup environment, with adaptability to changing priorities.
  • Strong written communication skills necessary for creating clear documentation and reports.

Responsibilities

  • Ensure security of Apollo's internal systems by red-teaming software and infrastructure.
  • Develop solutions for new AI-related security threats without an existing playbook.
  • Monitor and analyze adversary tactics and translate intelligence into actionable detections.
  • Lead the response to security findings, overseeing the deployment of fixes and controls.
  • Collaborate with engineers to implement durable security measures.

Benefits

  • Market competitive salary, equity, and benefits.
  • Unlimited access to compute resources for optimal outcomes.
  • Flexible work hours and unlimited vacation policy.
  • Generous paid parental leave up to 6 months.
  • Comprehensive health, dental, and vision insurance.
  • Competitive retirement savings with employer matching.
  • Provision of meals during workdays, including lunch and dinner.
  • Annual professional development budget of $1,000.
  • Relocation support and assistance with visa fees.
Full Job Description
THE OPPORTUNITY

In this role, you will identify, research and remediate both conventional threats and the novel risks introduced by AI agents that can affect Apollo and our mission. You will redefine and work on a new class of insider risk that didn't exist before.

RESPONSIBILITIES

  • Hold responsibility for the security of Apollo's internal surfaces. Red-team internal software, infrastructure, and AI agent access controls/monitoring. Build realistic attack trajectories.
  • Design solutions for novel or emerging threats in the AI security space, where no existing playbook applies. Set the standard for our security posture in these areas.
  • Track adversary tactics, techniques, and campaigns relevant to Apollo's threat landscape, and translate that intelligence into tuned, high-signal detections.
  • Own each finding through to a deployed fix. Build and roll out durable controls: checks, tests, defaults, detections. Socialise them, work with engineers to implement, and hold remediation to a high bar.


KEY REQUIREMENTS

Must haves
  • 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You'd need to be able to think structurally about threat modelling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls.
  • Direct experience with offensive security. Threat modelling, red teaming, etc. Knowledge of application or cloud. Ideally you owned or significantly contributed to the security posture of an organisation or product that handles sensitive customer data.
  • Engineering mindset. You treat security as an engineering problem.You can translate your findings into fixes and controls, such as paved roads, custom detection rules, adversarial test suites, CI/CD integrations. You prioritize automation and systems-level thinking to scale security, and you are comfortable leveraging AI to accelerate development.
  • Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.
  • Strong written communication. This role produces a lot of artifacts (threat models, reports, failure mode documentation) and they need to be clear and precise.
Nice to haves
  • Experience with AI/ML systems security or LLM security.
  • Detection engineering, SOC, or incident analysis experience.
  • Familiarity with insider threat programs or insider risk frameworks.
Explicitly not required
  • Formal AI safety research background. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security.


REPRESENTATIVE PROJECTS

  • Red-team Apollo's agent sandboxes used for evals: Test whether an agent can escape isolation, exfiltrate data, detect it's being evaluated, or otherwise undermine the validity of eval results. Your findings will harden the sandbox infrastructure the research team depends on to trust its own eval results.
  • Comprehensive coding agent threat model: Map every way a coding agent with internal access: credentials, code, network, execution ability, could attack Apollo, benchmarked against what a human insider with the same access could do.


BENEFITS

  • This role offers market competitive salary, equity, and competitive benefits.
  • Salary: San Francisco: $214,000 - $280,000; London: £144,000 - £188,000
  • Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it.
  • Flexible work hours and schedule
  • Unlimited vacation
  • Unlimited sick leave
  • Up to 6 months of paid parental leave
  • Comprehensive health, dental and vision insurance
  • Retirement savings with competitive employer matching (e.g. 401(k) for US employees)
  • Lunch, dinner, and snacks are provided for all employees on workdays
  • Paid work trips, including staff retreats, business trips, and relevant conferences
  • A yearly $1,000 (USD) professional development budget
  • Relocation support and visa fees (if applicable)


LOGISTICS

  • Time Allocation: Full-time
  • Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements.
  • Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.


ABOUT THE TEAM

The Infra and Security team is currently led by Rusheb Shah and consists of Glen Rodgers and Steven Lee. You will work closely with Security Engineers we're hiring for as well as technical staff from the Scheming Research and Product team. You can find our full team here.

HOW TO APPLY

Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples.

About the interview process: Our multi-stage process includes a screening interview, a take-home test (approx. 2-3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit.

Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].

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