Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $295K – $445K, and total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits include:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the team
The Preparedness team is a critical Safety Research team at OpenAI, focused on mitigating AI threats to global security that could scale to an extreme level of severity. The team's work involves measurement, mitigation, and coordination to address extreme threats that might arise in the future.
About the role
As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI's products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective.
In this role, you will:
- Design and implement mitigation components for model-enabled cybersecurity misuse,spanning prevention, monitoring, detection, and enforcement,under the guidance of senior technical and risk leadership.
- Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities.
- Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions.
- Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios.
- Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats and across different product surfaces,then iterate based on findings.
You might thrive in this role if you:
- Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.
- Bring demonstrated experience in deep learning and transformer models.
- Are proficient with frameworks such as PyTorch or TensorFlow.
- Possess a strong foundation in data structures, algorithms, and software engineering principles.
- Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.
- Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering.
- Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale.
- (Nice to have) Bring background knowledge in cybersecurity or adjacent fields.