
AI System Reliability Lead
3 days ago
Motive's platform empowers operations teams with tools to make work safer, more productive, and profitable.
It gives visibility and control over drivers, vehicles, equipment, and fleet spend. Industry-leading AI automates tasks and simplifies workflows.
Key Responsibilities- Lead a team focused on AI reliability.
- Detect, diagnose, and mitigate failures and degradation across AI features in production environments.
- Design tools and processes to surface anomalies, performance regressions, and edge cases.
- Drive initiatives to improve monitoring, observability, and data quality.
- Oversee data analysis, annotation processes, and AI system workflows to improve model performance.
- 2+ years of experience managing engineering teams in AI or ML infrastructure.
- Strong understanding of AI feature development lifecycles, data pipelines, 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.
- Experience working cross-functionally with ML researchers, product managers, and data engineers.
We are seeking an experienced professional who can drive business growth by leading high-performing teams and improving overall efficiency.
As part of our organization, you will have the opportunity to collaborate with experts from various fields and develop cutting-edge solutions.
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