
Senior AI System Reliability Engineer
9 hours ago
We are seeking a seasoned leader to spearhead our AI system reliability initiatives.
Responsibilities- Build, manage, and mentor a high-performing engineering team focused on AI system reliability.
- Lead efforts to detect, diagnose, and mitigate failures and degradation across AI features in production.
- Design tools, dashboards, and processes to surface anomalies, performance regressions, and edge cases.
- Drive cross-functional initiatives to improve monitoring, observability, and data quality.
- Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
- Develop and maintain technical documentation for AI workflows, ensuring clarity and efficiency.
- Monitor key AI performance metrics and implement strategies for optimization.
- Champion a culture of ownership, rigor, and continuous learning within the team.
- Actively coordinate and share data insights with research groups to improve product and customer experience.
- 2+ years of experience managing high-performing engineering teams, preferably in AI, ML infrastructure, or production systems.
- Strong understanding of AI feature development lifecycles, data pipelines, model debugging, and post-deployment validation.
- Proven experience with root cause analysis, reliability engineering, or debugging complex distributed systems.
- Strong analytical mindset and ability to dig deep into data to uncover insights.
- Experience working cross-functionally with ML researchers, product managers, customer success and support teams, and data engineers.
- Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
- Proficiency in Python and SQL for data processing and reporting.
- Flexible to work across time zones.
Motive is an equal opportunity employer and welcomes people of different backgrounds, experiences, abilities, and perspectives.
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