Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Azure
Data Pipelines @ 3
Kafka
Kubernetes
PostgreSQL
Python
Terraform
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Applied Foundations team at OpenAI develops secure, reliable infrastructure to defend against financial abuse, scaled attacks, and other forms of misuse. Integrity Foundations provides the core building blocks for detecting and mitigating adversarial behavior across the platform.
In this role, you will work with the broader engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across OpenAI's platform.
Responsibilities
- Develop and enhance systems to detect and prevent financial fraud, botting, scripting, and other forms of abuse.
- Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.
- Assist with responding to active platform incidents.
- Build tooling and infrastructure that address fundamental abuse-prevention problems.
- Own problems end-to-end and develop the knowledge required to solve them.
Requirements
- At least 3 years of professional software engineering experience.
- Experience setting up and maintaining production backend services and data pipelines.
- Strong technical skills and the ability to quickly learn new tools and frameworks.
- Expertise in building software systems that defend against abuse in AI safety and production environments.
- Self-directed approach to problem-solving and willingness to support team success.
- Ability to build workflow tools when off-the-shelf solutions are insufficient.
Technology Stack
- Terraform
- Kubernetes
- Azure
- Python
- PostgreSQL
- Kafka
Benefits
- Equity, performance-related bonuses for eligible employees, and a base salary of $230,000–$385,000 per year.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax flexible spending and commuter accounts.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks may be administered in accordance with applicable law.
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