Cerebras
Lead Machine Learning Runtime Engineer to Optimize AI Integrations
Job Description
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 f...
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 f...