Business Operations Lead
As our Business Operations Lead, you will contribute to all parts of company building, including Go-To-Market, strategy and finance, and scaling our team. Ideally, you have 1-2 years of experience working at a startup in a similar role, an interest in AI and Machine Learning, and optionally a background in Computer Science.
Chief of Staff
As Chief of Staff to our CEO, you will contribute to all parts of company building at this stage including things like launching our first product and scaling our team. Ideally, you have at least 1-2 years of experience working at a VC fund, worked in Ops, Recruiting or Finance at a startup, and have a background in Computer Science.
GPU Kernel Engineer
As a GPU Kernel Engineer, you will design efficient implementations of novel model architectures and optimize kernels to ensure high throughput and low latency during training and inference.
Principal Product Designer
As a Principal Product Designer, you will talk to users, develop user experience strategy and design, and take ownership of everything that takes a product from good to "can't imagine it any other way".
As a Software Engineer building Magic's core product, you are also the most important user. You ensure that Magic is intuitive, visually appealing, seamlessly integrates into any IDE, and feels Magical. If you love it, our users will too. If you don't, it's your responsibility to make it lovable.
As a Research Engineer, you’ll work on training, evaluating, and serving large AI models, build internet-scale dataset, and help prototype new research and product ideas.
Senior Distributed Systems Engineer
As a Distributed Systems Engineer, you write efficient and robust pipelines for giant, multimodal datasets. If you love scaling things and maximizing reliability, this role is for you.
Senior Software Engineer
As a Senior Software Engineer, you'll work on frontend, backend, or infrastructure to make our models accessible and useful to developers around the world.
Senior Software Engineer - Compute Infrastructure
As a Software Engineer working on our large-scale training and inference infrastructure, you will architect and build resilient solutions for AI workloads on large GPU clusters. If you love scaling things, enjoy getting the most out of compute infra and maximizing reliability, this role is for you.