Machine Learning Engineer, GeForce G-Assist
Core
Evaluate and improve Small Language Models (SLMs) and VLMs for an on-device AI assistant, focusing on production behavior, accuracy, robustness, and mitigating context contamination.
Role type
Senior IC machine learning engineer (on-device SLM/VLM)
Builds
GeForce G-Assist on-device AI assistant with hybrid local/cloud capabilities
Domain
Consumer hardware / Generative AI / On-device inference
Deliverable
production ML models
Required skills
C/C++ systems programming, Python, Small Language Model (SLM) evaluation, Retrieval-Augmented Generation (RAG), agentic AI workflows, quantization, memory optimization, llama.cpp
Preferred skills
Multimodal model experience, product collaboration, translating user feedback to model improvements
Technologies
llama.cpp, C/C++, Python, SLMs, VLMs, RAG
Responsibilities
Evaluate and improve SLMs for accuracy and robustness in production; Optimize local inference performance and memory usage; Design and integrate RAG systems; Collaborate on hybrid local/cloud model architectures.
Seniority
Senior, hands-on IC
