Principal Data Scientist: ML Systems & Scalable Infra

Experimentation Jobs; Sunnyvale (CA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A leading tech company in Sunnyvale is seeking a Principal Data Scientist to architect and implement end-to-end machine learning systems. This role involves designing scalable, low-latency model serving infrastructure and building automation solutions for predictive autoscaling and anomaly detection. Ideal candidates will have strong experience in machine learning, data pipelines, and Kubernetes. Join a dynamic team focused on optimizing high-availability environments.

Qualifications

• Proven experience in designing and implementing machine learning systems.
• Strong knowledge of data pipelines and feature engineering techniques.
• Experience with model training, deployment, and monitoring.

Responsibilities

• Architect and implement end-to-end ML systems.
• Design scalable model serving infrastructure integrated with Kubernetes.
• Build automation solutions for predictive autoscaling and anomaly detection.

Skills

Machine learning

Kubernetes

Data pipelines

Predictive autoscaling

Anomaly detection

Tools

Cloud-native systems

Job description

A leading tech company in Sunnyvale is seeking a Principal Data Scientist to architect and implement end-to-end machine learning systems. This role involves designing scalable, low-latency model serving infrastructure and building automation solutions for predictive autoscaling and anomaly detection. Ideal candidates will have strong experience in machine learning, data pipelines, and Kubernetes. Join a dynamic team focused on optimizing high-availability environments.