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 learningRequirements:• 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 TensorFlow• Strong understanding of software architecture patternsShape the future of machine learning by innovating scalable solutions and optimizing user experiences across complex systems.#J-18808-Ljbffr
Lead Machine Learning Runtime Engineer To Optimize Ai Integrations
CEREBRAS
, , canada, , , canada
Published 27 days ago
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