AI Cloud Infrastructure Engineer - Fury Team

About this role

Scout AI is seeking an AI Cloud Infrastructure Engineer to develop and enhance the foundational infrastructure for its Fury robotic model, focusing on large-scale model training and deployment. This role requires a mix of systems engineering, distributed computing, and machine learning expertise to optimize the training pipelines for multimodal data in both cloud and edge environments.

What you'll do

• Design data pipelines for multimodal data processing
• Develop tools for dataset exploration and quality monitoring
• Build and maintain distributed training infrastructure
• Implement job orchestration workflows
• Optimize compute and network performance
• Collaborate with AI teams for real-time use cases

What they're looking for

• 3+ years in ML infrastructure or MLOps
• Experience with distributed training frameworks
• Proficient in Python and cloud platforms
• Understanding of ETL and data engineering
• Familiarity with containerization and monitoring
• Optimizing GPU clusters and training performance
• Bachelor's degree in a related field
• Bonus: experience with edge-deployed ML systems

Benefits

• Competitive salary and bonus structure
• Equity options
• Full medical, dental, and vision coverage
• Generous PTO and holidays
• Unlimited AI tokens
• Catered lunches and stocked kitchen