Apollo Research
Apollo Research evaluates and stress-tests frontier AI models for safety risks and builds security tools for agentic systems used by enterprise engineering teams. It works with OpenAI, Anthropic, Google, Meta and others to run pre-deployment tests focused on deceptive behavior and loss-of-control risks, and sells Watcher, a coding-agent security product that monitors billions of tokens in production. Revenue comes from enterprise software and research partnerships with AI labs and agent-building companies.
Open Positions at Apollo Research
5 open positions
Apollo Research is hiring an AI Red Team Engineer to uncover novel attack surfaces in AI monitoring systems and turn adversarial findings into stronger defenses. The role combines offensive security research, automated red-teaming pipelines, and close collaboration with control researchers and product engineers.
Apollo Research is hiring an AI Security Researcher to protect internal systems, agent infrastructure, and AI-enabled workflows through offensive security research and durable remediation. The role combines red teaming, threat modeling, detection engineering, and security control development in a frontier-AI environment.
Own end-to-end customer deployments of Watcher, a coding-agent security product, from technical evaluations and integrations through production rollout and white-glove support. This customer-facing engineering role combines hands-on implementation, custom capability development, and product feedback without carrying a sales quota.
Build and scale Watcher, a coding-agent security product, as a full-stack engineer owning features from customer conversations through production deployment. You’ll work across agent integrations, real-time monitoring, data pipelines, enterprise deployments, and security controls.
Research Scientist/Engineer building rigorous evaluations and automated pipelines to detect scheming, misalignment, and other undesirable behaviors in frontier AI models before deployment. The role combines hands-on Python engineering, red-teaming, quantitative analysis, and collaboration with leading AI labs.