Description
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
This role is central to our mission of enhancing everyday intelligence in connected systems. This role will be responsible for building robust pipelines that analyze temporal behavior, identify anomalies, and trigger intelligent alerts. Job
, cameras, door sensors, access logs). Build pipelines that analyze historical patterns and identify deviations using a combination of statistical, classical ML, and deep learning approaches. Collaborate with data engineering and platform teams to ensure real-time model inference, stream processing, and alert triggering Tune models for low false positives and high sensitivity while maintaining operational efficiency.
Develop and manage ML Ops pipelines for training, testing, deployment, and monitoring of anomaly detection systems Implement robust monitoring and feedback loops to adapt to behavior drift or seasonal variations. Contribute to overall AI system architecture and collaborate with engineers working on LLM-based assistants and agentic
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