AI Inference Engineer Intern - Model Pruning
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
Early career software engineer builds and integrates AI agents and solutions using frameworks like LangChain and RAG pipelines to enhance childcare platform features. Requires bachelor's in CS/engineering, Python/JS proficiency, and AI/ML familiarity; hybrid onsite in SF office 3 days/week.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.
Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.
Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.