Runtime Engineer

About

Elevate machine learning experiences as a Runtime Engineer focused on seamless API integration and ML frameworks. Drive innovation in large-scale applications using cutting-edge technologies for enhanced performance and efficiency.

This pivotal role involves designing solutions that bridge machine learning frameworks like PyTorch with an advanced software ecosystem. You’ll work closely with cross-functional teams, ensuring that ML models are optimized for high throughput and low latency. With a strong emphasis on mentoring others and delivering user-friendly tools, you'll be shaping the ML landscape.

Key Responsibilities:

• Guide a team on machine learning integration projects
• Develop scalable, user-friendly APIs with popular frameworks
• Analyze ML models to inform efficient design decisions
• Optimize software for high-performance model training
• Stay current with advancements in machine learning

Requirements:

• Bachelor's, Master's, or PhD in relevant fields
• 5+ years in large-scale software engineering
• Proficient in Python and advanced C++ for system development
• Experience with ML frameworks like PyTorch or Tensor Flow
• Strong understanding of software architecture patterns

Shape the future of machine learning by innovating scalable solutions and optimizing user experiences across complex systems.