Build and optimize ML training systems for production-scale language models using PyTorch and frameworks like Hugging Face. Requires 5+ years experience in high-performance code and training optimizations; onsite in NYC or SF.
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
Engineers optimize ML systems for performance at scale, focusing on GPU utilization, inference engines, and container runtime to boost throughput and reduce latency for language and diffusion models. Requires 5+ years experience with PyTorch, CUDA, and performance debugging.
Build and optimize ML training systems for production-scale language models using PyTorch and frameworks like Hugging Face. Requires 5+ years experience in high-performance code and training optimizations; onsite in NYC or SF.
Partners with sales to drive technical sales of AI/ML infrastructure, leading demos, POCs, and solutions for enterprise customers. Requires 2+ years software engineering, AI/ML expertise, and strong communication skills.
Engineers optimize ML systems for performance at scale, focusing on GPU utilization, inference engines, and container runtime to boost throughput and reduce latency for language and diffusion models. Requires 5+ years experience with PyTorch, CUDA, and performance debugging.