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

As a Software Engineer, you'll architect and lead the development of infrastructure for ML training, enhancing reliability and performance while mentoring junior engineers.

Own technical outcomes for AI customers by designing, deploying, scaling, and improving inference and post-training workloads. Build proofs of concept through production, develop evaluations and benchmarks, troubleshoot mission-critical incidents, automate deployment and evaluation infrastructure, and contribute product fixes to Baseten’s codebase. Manage multiple accounts, communicate with customers and stakeholders, and participate in on-call support.

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.

Build an internal AI developer platform that provisions agent configs, context tooling, eval harnesses, and rollout mechanics to make AI-assisted engineering the default. Integrate LLMs and third-party coding tools, enable self-serve agent creation, embed safety and audit controls, and measure impact on developer productivity.

The GPU Kernel Engineer will design and implement high-performance GPU kernels, optimize code, and collaborate with research teams to enhance AI workloads.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

Partner with Sales and customers to run technical discovery, lead demos and scoping, design repeatable ML inference deployments across modalities, benchmark inference performance, and drive POC execution and stakeholder alignment.

The GTM Recruiter will manage the full-cycle recruiting process for go-to-market roles, enhance candidate experience, and improve recruiting strategies while collaborating with hiring managers and analyzing recruiting metrics.

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