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Lead development of enterprise platform features focusing on infrastructure, security, and compliance for enterprise customers. Oversee projects, collaborate cross-functionally, and mentor engineering teams.

The Post-Training Research Scientist will focus on both pure and applied research in post-training methodology and inference, designing experiments, publishing findings, and collaborating with engineering teams to advance machine learning models.

As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.

As a Site Reliability Engineer, you'll build and maintain infrastructure for ML models, automate processes, and collaborate cross-functionally.

Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.

The Senior Product Engineer will design and implement features for a training platform, working through the tech stack and collaborating with research engineers to enhance model development and user experiences.

Contribute to Baseten's content strategy by creating technical written content, optimizing for SEO, and driving visibility for developer engagement.

The OS / K8s Systems Engineer will build and automate systems to turn GPU hardware into production-ready compute, focusing on reproducibility, scalability, and reliability across data centers.

As a Capacity Operations Associate, you'll manage technical customer success and infrastructure operations, ensuring reliable deployment and management of cloud-based resources using Kubernetes and other tools.

The Engineering Manager will lead the Platform Team to enhance internal tools, focusing on productivity and collaboration. Key responsibilities include team leadership, technical guidance, and cross-functional partnership to drive platform improvements.