Develop user-facing APIs, SDKs, and tools to streamline access to AI infrastructure. Collaborate with research and product teams to translate complex ML workflows into scalable and secure abstractions.
Mindbeam
4 Remote Job Openings at Mindbeam
Design and implement custom GPU/accelerator kernels to maximize performance for next-generation AI workloads. Collaborate with researchers to translate algorithmic advances into efficient, production-ready code.
Develop pipelines for post-training tasks including fine-tuning, evaluation, and model compression. Implement scalable systems for model deployment and optimization while collaborating with researchers to validate results in production.
The primary mission involves designing and optimizing large-scale pre-training systems to power generative AI models. This includes building scalable pre-training pipelines, implementing distributed training strategies across hardware, and developing monitoring systems for reliability.
