Location

London, UK

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. As the systems that address some of our most severe usage harms become more mature, we’re adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them.

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

This role is based out of our London office and may involve resolving urgent escalations outside of normal work hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise-disturbing material.

In this role, you will:

• own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals

• develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets

• build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable

• own dashboards and metrics reporting for harm verticals

• conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps

• optimise LLM prompts for the purpose of measurement

• collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs

• provide metrics for leadership and external reporting

• develop automation to scale yourself, leveraging our agentic products

You might thrive in this role if you:

• are a senior DS with trust and safety experience that can drive measurement direction

• have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)

• have experience working with severe and sensitive harm areas like child safety or violence

• are an excellent communicator, and have strong cross-functional collaboration skills

• are capable in data programming languages (R or python, SQL)

• (ideally) have experience with AI harms or leveraging AI for measurement

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.

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $293K – $385K • 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, and the following benefits.

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.

About the Team

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

In this role, you will:

• Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals.

• Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets.

• Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable.

• Own dashboards and metrics reporting for harm verticals.

• Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps.

• Optimise LLM prompts for the purpose of measurement.

• Collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs.

• Provide metrics for leadership and external reporting.

• Develop automation to scale yourself, leveraging our agentic products.

You might thrive in this role if you:

• Are a senior DS with trust and safety experience that can drive measurement direction.

• Have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based).

• Have experience working with severe and sensitive harm areas like child safety or violence.

• Are an excellent communicator, and have strong cross-functional collaboration skills.

• Are capable in data programming languages (R or python, SQL).

• (Ideally) have experience with AI harms or leveraging AI for measurement.

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.

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