Technical Lead, Safety Research
Location
San Francisco
Employment Type
Full time
Department
Safety Systems
Compensation
- $460K – $555K
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits
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Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
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Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
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401(k) retirement plan with employer match
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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)
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Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
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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)
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Mental health and wellness support
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Employer-paid basic life and disability coverage
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Annual learning and development stipend to fuel your professional growth
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Daily meals in our offices, and meal delivery credits as eligible
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Relocation support for eligible employees
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Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the Team
The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.
About the Role
As a tech lead, you will be responsible for developing our strategy in new directions to address potential harms from misalignment or significant mistakes. This will in practice include:
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Setting north star goals and milestones for new research directions, and developing challenging evaluations to track progress.
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Personally driving or leading research in new exploratory directions to demonstrate feasibility and scalability of the approaches.
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Working horizontally across safety research and related teams to ensure different technical approaches work together to achieve strong safety results.
In this role, you will:
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Set the research directions and strategies to make our AI systems safer, more aligned and more robust.
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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.
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Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.
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Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.
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Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products.
You might thrive in this role if you:
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Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter
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Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.
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Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases.
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Hold a Ph.D. or other degree in computer science, machine learning, or a related field.
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Possess experience in safety work for AI model deployment
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Have an in-depth understanding of deep learning research and/or strong engineering skills.
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Are a team player who enjoys collaborative work environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world.
