Protection Scientist Engineer, Integrity
- Locations
- London, UK · San Francisco
- Salary range
- Not stated
- Workplace
- In office
- Level
- Individual contributor
- Job family
- Engineering
- Posted
- 12 months ago
The T&S Network estimates this role to be P2, Professional. The typical base salary for that level in Safety Engineering & Data Science is $160k to $250k at a frontier lab. Key skills at this level: builds and ships detection or enforcement systems in production, evaluates a classifier on the metric that matches the harm, not on accuracy, and works with labeled data of uneven and adversarial quality.
Why this level
Estimated from the posting rather than stated by the employer: the title reads as P2.
The role, in T&S terms
Written by the T&S Network from OpenAI's posting.
Protection Scientists in Integrity build and run systems of defense against harmful usage of OpenAI's products, covering harms such as child safety, nation-state misuse, and violence alongside frontier harms. The team builds harm protections for new product and model launches and responds to bad actors on the platforms.
What you'd do
- Set protection strategy and priorities for a harm area or launch, trading off risk against available capacity.
- Create and keep up production detection with SQL, Python, classifiers and language models.
- Investigate emerging harm and abuse patterns with domain experts, separating harmful activity from legitimate use.
- Coordinate cross-functional delivery with investigations, policy, operations, enforcement and data science partners.
- Gauge leftover harm and how well detection and interventions perform, then tune the system against actual cases.
- Define data, detection and review requirements for product launches and investigate critical escalations after launch.
- Build reusable tools and documentation, using language models and automation with human oversight.
What it asks for
- Substantial knowledge of at least one harm area gained in integrity, T&S, security or investigations work.
- Proficiency in SQL and Python, with experience writing reliable production code for detection and data processing.
- Quantitative analysis and machine learning skills for measuring risk and evaluating system effectiveness.
- Track record of planning and shipping multi-team technical work.
- Clear written and verbal communication of technical findings and trade-offs to varied audiences.
- Experience using language models and automation for analytical or operational work (preferred).
- Additional ML or software engineering experience (preferred).
Worth knowing
- Participation in an on-call rotation that may involve resolving urgent escalations outside normal working hours.
- Some investigations may involve sensitive sexual, violent or otherwise disturbing content.
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on OpenAI before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About OpenAI

The employer
About OpenAI
AI and model safety · San Francisco, CA · 1,001 to 5,000 people · Founded 2015
AI research company behind ChatGPT and the GPT family of models.
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