This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models and systems. As capabilities continue to advance, it is imperative that our approaches to safety continue to improve and scale to address evolving risks. This is important both for ensuring our systems are robust to prevent harmful misuse as well as ensuring potential misalignment cannot cause harm. We are working on these problems in a way that is grounded in our current models and methods but that generalizes to future systems. We are growing our team to expand our research on methods that will improve safety for AGI and beyond. This will include exploratory research for example, new methods to improve safety common sense and generalizable reasoning, developing new evaluations to elicit or detect misalignment or inner goals of the AI, and new methods to support human oversight of long-running tasks.
Job Responsibility:
Set the research directions and strategies to make our AI systems safer, more aligned and more robust
Coordinate and collaborate with cross-functional teams, including the rest of the research organization, T&S, policy and related alignment teams, to ensure that our AI meets the highest safety standards
Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies
Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more
Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products
Setting north star goals and milestones for new research directions, and developing challenging evaluations to track progress
Personally driving or leading research in new exploratory directions to demonstrate feasibility and scalability of the approaches
Working horizontally across safety research and related teams to ensure different technical approaches work together to achieve strong safety results
Requirements:
Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use
Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases
Hold a Ph.D. or other degree in computer science, machine learning, or a related field
Possess experience in safety work for AI model deployment
Have an in-depth understanding of deep learning research and/or strong engineering skills
Are a team player who enjoys collaborative work environments
Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter
What we offer:
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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)
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
Generous equity
Performance-related bonus(es) for eligible employees