The Staff Analytics Engineer (AI & Predictive) at Qualcomm is a senior, hands-on individual contributor focused on designing, building, and operationalizing predictive analytics and machine learning models. This role combines data science, ML engineering, and full-stack data application development to deliver production-grade solutions. The position requires expertise in classical ML techniques and Databricks application development, with a strong emphasis on end-to-end delivery. The role is based in San Diego, CA and requires full-time onsite work.

• 5+ years of hands-on experience in data science, applied machine learning, or ML engineering.
• Strong proficiency in Python for ML development, data processing, and application logic.
• Deep experience with traditional ML techniques such as regression, classification, clustering, and time series.
• Proven experience building and deploying ML models in production environments.
• Hands-on experience with Databricks, including application development and ML pipelines.

• Design, develop, and deploy traditional machine learning models including regression, classification, and anomaly detection.
• Implement agentic AI workflows that orchestrate data access and decision logic.
• Develop Databricks-native applications, including interactive dashboards and parameterized workflows.
• Operationalize ML models into production pipelines ensuring scalability and reliability.
• Own production ML models and Databricks applications, including monitoring and troubleshooting.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.