Design and test model architectures and training regimes at scale; study failure modes; probe objectives, data, and optimization; run controlled experiments; build research tooling and pipelines; inspect model internals and generate insights through disciplined experimentation.

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.

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.

Design, source, shape, and evaluate input signals for AI model training, focusing on the quality and structure of data at scale.

Design, source, and shape input signals for AI models to enhance learning outcomes across all training stages. Focus on experimentation and iterative improvements with data.