
AI System Reliability Leader
3 days ago
We seek an accomplished leader to oversee the development and deployment of robust AI systems. This individual will be responsible for ensuring our AI-powered features operate with precision and consistency in production environments.
The successful candidate will have a strong background in managing engineering teams, preferably in AI or ML infrastructure. They will possess a deep understanding of AI feature development lifecycles and data pipelines, as well as proven experience with root cause analysis, reliability engineering, or debugging complex systems.
This role involves leading efforts to detect, diagnose, and mitigate failures and degradation across AI features in production. The ideal candidate will design tools and processes to surface anomalies and performance regressions, and drive cross-functional initiatives to improve monitoring and data quality.
- Manage high-performing engineering teams focused on AI system reliability.
- Lead efforts to detect and mitigate failures across AI features in production.
- Design tools and processes to surface anomalies and performance regressions.
Requirements:
- 2+ years of experience managing engineering teams, preferably in AI or ML infrastructure.
- Strong understanding of AI feature development lifecycles and data pipelines.
- Proven experience with root cause analysis, reliability engineering, or debugging complex systems.
Why Choose Us?
We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities, and perspectives. We strive to create a workplace that is inclusive, respectful, and supports the growth and success of all employees.
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