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

We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable.

In this role, you will enable:

• Set research and strategies to study societal impacts of our models in an action-relevant manner and figure out how to tie this back into model design

• Build creative methods and run experiments that enable public input into model values

• Increasing rigor of external assurances by turning external findings into robust evaluations

• Facilitating and growing our ability to effectively de-risk flagship model deployments in a timely manner

You might thrive in this role if you:

• Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter

• Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.

• Possess 3+ years of research experience (industry or similar academic experience) and proficiency in Python or similar languages

• Thrive in environments involving large-scale AI systems and multimodal datasets

• Enjoy working on large-scale, difficult, and nebulous problems in a well-resourced environment

• Exhibit proficiency in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, LLM evaluations

• Have past experience in interdisciplinary research

• Show enthusiasm for socio-technical topics

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 through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Benefits

• 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.

Salary

• $380K • Offers Equity

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,

Experience Level

entry

Employment Type

full-time

Workplace Type

hybrid

Category

Engineering

Industry

Technology

Salary Range

$380K • Offers Equity

Required Skills

• Python

• Research experience

• AI safety

• RLHF

• Adversarial training

• Robustness

• LLM evaluations

Preferred Skills

• Interdisciplinary research

• Socio-technical topics

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