Overview

We're looking for a software engineer to help build and optimize the infrastructure behind large-scale AI model training and deployment. This role involves working across the full ML lifecycle - from data processing and training pipelines to efficient inference in production environments.

What You'll Do

• Develop scalable, distributed training and evaluation pipelines
• Optimize model performance and system efficiency across different compute environments
• Collaborate with ML teams to integrate models into production systems
• Build tooling for deployment, monitoring, and continuous improvement of AI models

What We're Looking For

• Strong programming skills (Python, C++, or similar)
• Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX)
• Familiarity with cloud infrastructure and distributed systems
• Solid understanding of performance optimization and system design