
AI System Reliability Specialist
5 days ago
Empowering AI Reliability Experts
Motive's platform revolutionizes physical operations by providing tools that make work safer, more productive and profitable. For the first time ever, safety, operations and finance teams can manage drivers, vehicles, equipment and fleet-related spend in a single system.
Key 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.
Qualifications:
- 2+ years of experience managing high-performing engineering teams, preferably in AI or ML infrastructure.
- 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.
Preferred Skills:
- Experience working cross-functionally with ML researchers, product managers, customer success and support teams.
- Excellent communication and leadership skills; ability to drive clarity in ambiguous environments.
- Proficiency in Python and SQL for data processing and reporting.
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