Beam
Rapidly Develop AI Projects
Engineer / Writer
About the role
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 a unique type of engineer. We're looking for someone who wants to write articles about engineering topics. You won't be writing production software, but you'll be writing commentary on the software industry. Ideally, you've worked in engineering for a little while and you're ready to take a step back from coding day-to-day.
About You
- You're an excellent writer with a great sense of humor
- You have strong opinions about software design patterns and the industry of software. You know about Linux cgroups, but you also know how to read a 10-K.
- You're passionate about serverless and/or products that remove infrastructure headaches from shipping software
- You're excited about shipping articles on a regular basis
Benefits
- Competitive salary and meaningful equity
- Join a fast-growing, pre-series A company at the ground floor
- Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
- Opportunities to participate in events across the cloud native community
- Fitness stipend, learning budget, and much, much more
About Beam
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 Today, companies are spending months building their own ML platforms, or relying on outdated tools that were originally designed for academics.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.
