Baseten is a venture-backed ML infrastructure company that has achieved product-market fit and secured Series B funding. We serve ML teams at enterprises and AI-native companies like Descript, Bland.ai, Patreon, Writer, and Robust Intelligence, providing them with a platform for their production workloads that offers superior performance, security, and reliability.
As a Site Reliability Engineer at Baseten, you'll be at the forefront of building and maintaining the infrastructure that powers machine learning operations. Your role will involve creating robust systems and processes to ensure scalability, reliability, and efficiency. You'll work on everything from automation of deployments to monitoring systems and performance optimization.
The position requires a strong background in infrastructure and systems engineering, with particular expertise in Kubernetes and modern DevOps practices. You'll be expected to own projects end-to-end, collaborate across teams, and contribute to establishing best practices for reliability and performance.
What makes this role unique is the opportunity to work in the rapidly evolving field of ML infrastructure while being part of a growing startup backed by prestigious investors like IVP, Spark Capital, and Greylock. You'll gain exposure to various ML startups and have the chance to shape the future of AI infrastructure.
The company offers competitive compensation, including a salary range of $150K-$250K plus equity, comprehensive benefits, and a culture that promotes learning and growth. If you're passionate about building scalable systems and want to be part of transforming how companies deploy and manage ML models, this role offers an exciting opportunity to make a significant impact.