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Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a manager of Protection Scientist Engineers, you will lead a small but growing team of PSEs who design and build systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. The team also responds to and investigates critical escalations, especially those that are not caught by our existing safety systems. The team, and you, will leverage expert understanding of our products and data, and work cross-functionally with product, policy, and scaled engineering teams. This role is based in our San Francisco office and may involve resolving urgent escalations outside of normal work hours. Some investigations and work may involve sensitive content, including sexual, child safety, violent, or otherwise-disturbing material.
Job Responsibility:
Lead, manage, and support an interdisciplinary and technical team across US timezones, working with them to chart longer term strategies
Leverage your expertise in designing, launching, and improving systems of defense to mentor the team and develop both technical and organisational solutions
Identify and create opportunities to enhance and make more efficient the team’s core work through understanding both cross-functional and technical challenges
Review, and at times design and participate in, the implementation of abuse detection, review, and enforcement for new product launches and major harms
Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to address them, and with Engineering teams to ensure we have sufficient data and scaled tooling
Communicate the work of the team, at times externally, and coordinate with cross-functional partners to scope and prioritize work across abuse response
Requirements:
At least two years of experience managing or tech leading teams that fight threats at a tech company and/or government organization
Deep experience with technical analysis and harm detection, especially using SQL and Python
Experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. An investigative mindset is key
Experience with basic data engineering, such as building core tables or writing data pipelines in production, and with machine learning principles and execution. Basic software development skills are a plus as this role writes productionised code
Experience scaling and automating processes, especially with language models
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