Currently tracking 27 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $160k–$370k (avg $264k).
| Title | Stage | AI score |
|---|---|---|
| Sr. Engineer - Data & ML Platform (Hybrid, IND) CrowdStrike is seeking a Sr. Engineer to build out their ML Experimentation Platform from the ground up. This role involves designing, implementing, and maintaining scalable ML pipelines for data preparation, feature engineering, model training, and model serving. The engineer will also contribute to a production-focused culture and future generative AI investments. The role requires strong experience in distributed systems, data platforms, and ML concepts, with a focus on production deployment and CI/CD. | ServeData | 7 |
| Sr. Engineer - Data & ML Platform (Hybrid) This role focuses on building and facilitating adoption of a modern Data+ML platform, modularizing ML code, establishing repeatable patterns for model development, deployment, and monitoring, and building a scalable platform for ML experimentation pipelines. It involves leveraging workflow orchestration tools, cloud services, and CI/CD frameworks, with a future focus on generative AI use cases. The role emphasizes production-focused ML engineering and bridging the gap between model development and operational success. |
| ServeData |
| 7 |
| Sr. Engineer - Data & ML Platform (Hybrid, IND) This role focuses on building and scaling an ML Experimentation Platform, encompassing data preparation, feature engineering, model training, and model serving. It involves developing scalable ML pipelines, modularizing ML code, establishing patterns for model development and deployment, and leveraging workflow orchestration tools. The role also involves integrating with cloud services and CI/CD frameworks, with future plans for generative AI use cases. | ServeData | 7 |
| Principal Software Engineer, Endpoint AI Framework (Hybrid) CrowdStrike is seeking a Principal Software Engineer to lead the development of a next-generation endpoint AI learning framework. This role involves architecting and delivering a high-performance model delivery framework that leverages deep learning and machine learning on millions of endpoints worldwide, focusing on maintaining a lightweight footprint and optimizing resource utilization with hardware acceleration. | Serve | 7 |