Software Engineer, Integrity Foundations
Develops systems to detect and prevent abuse like financial fraud and adversarial attacks on AI platforms. Collaborates cross-functionally to build defensive infrastructure, with 3+ years backend experience using Python, Kubernetes, and related tools.
About the job
Responsibilities
- Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting.
- Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.
- Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.
Requirements
- At least 3 years of professional software engineering experience.
- Experience setting up and maintaining production backend services and data pipelines.
- Humble attitude, eagerness to help colleagues, and desire to do whatever it takes to make the team succeed.
- Self-directed, enjoy figuring out the best way to solve problems.
- Own problems end-to-end, willing to pick up missing knowledge.
- Care about AI Safety in production environments and expertise to build software systems that defend against abuse.
- Build tools to accelerate workflows when off-the-shelf solutions are insufficient.
Tech Stack
- Terraform, Kubernetes, Azure, Python, Postgres, Kafka.
Skills
Python, Kubernetes, Terraform, Azure, Postgres, Kafka, Backend Services, Data Pipelines
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