Software Engineer

📋 Description

• Design and improve distributed input data pipelines for large-scale machine learning training
• Collaborate with researchers and machine learning engineers to resolve bottlenecks in data pipeline
• Improve runtime goodput of training workloads by optimizing input data processing systems for
• Implement and maintain advanced machine learning infrastructure tools including ML Pathways, Grain
• Evaluate and integrate modern technologies to enhance the performance and scalability of machine
• Promote best practices for distributed systems architecture and contribute to technical leadership

🎯 Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related field, and 5 years of progressive
• 5 years of experience in machine learning frameworks and distributed data processing libraries
• 5 years of experience in Python or C++ for machine learning libraries and distributed systems.
• 2 years of experience in technical leadership in architecting ML infrastructure for large
• 2 years of experience in productionizing, evaluating, serving large foundation models in multi-host
• 2 years of experience in optimizing computational efficiency (duty cycles, memory efficiency) of

🎁 Benefits

• Discretionary annual bonus program
• Equity incentive plan
• Company benefits program