Beam is a tool to quickly build machine learning-powered applications. Our platform helps developers run their code on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models — without managing any infrastructure.
Machine learning is eating software, but it’s still difficult for developers to leverage ML in their products. Today, companies are spending months building their own ML platforms, or relying on outdated tools that were originally designed for academics.
We believe that for ML to reach widespread adoption, the underlying infrastructure needs to be hidden from the user. We're building the fastest way for developers to go from an ML prototype to a production service.
Beam helps developers build and run AI and LLM applications on serverless GPUs, without managing infrastructure. Hundreds of teams are using Beam to power their applications in production. And we have a thriving community of developers using our platform to build state-of-the-art apps with AI.
We’re looking to hire someone to help us with Platform Engineering work. We’re working on lots of fun problems:
Our infra code is mostly in Go, but our backend APIs are in Python. We try to keep distractions to a minimum, we have quarterly hackathons at our office, and we value getting into a flow state at work.
We’re working on lots of fun problems:
Our infra code is mostly in Go, but our backend APIs are in Python. We work extremely closely with our customers – they’re all in a communal Slack channel with us, so it’s important that you’re interested in interacting with them (luckily, our customers are all developers).