The Data Scientist will handle large-scale data to support AI model training, analyzing datasets and ensuring data quality and performance. Collaboration with engineers and researchers is key, along with designing data workflows, pipelines, and tools for dataset evaluation.

Design and operate advanced AI infrastructure, focusing on GPU clusters and large-scale systems. Collaborate with researchers and develop architectural solutions from first principles.

Design and operate the infrastructure to train AI models using GPU clusters and high-speed networking. Collaborate with AI teams to innovate operational strategies from first principles.

The Partner Ecosystem Lead will develop relationships within the partner network to drive ai opportunities, engage with enterprise buyers, and create success playbooks for long-term alignment.

The Design Engineer will build demo-ready interfaces, support AI prototypes, and enhance internal design systems, collaborating across product and research teams.

As an AI Researcher, design and prototype foundation model architectures, explore new training algorithms, run experiments, and collaborate with AI Engineers on large-scale systems.

As an AI Engineer at Maincode, you will build and optimize training pipelines and inference systems for large-scale foundation models, collaborating closely with researchers on cutting-edge algorithms.