AI Researcher (Efficient AI)

LG Electronics is a global technology company developing innovative solutions across consumer electronics, vehicles, and intelligent systems. The AI Researcher will research and implement methods for improving the efficiency, performance, and deployability of modern AI models on constrained devices. The role focuses on model compression, quantization, efficient inference, optimization, experimental evaluation, and contributions to publications and intellectual property.

Responsibilities:

• Research, prototype, and implement AI methods that improve model efficiency, inference performance, and deployment feasibility on constrained devices
• Optimize modern LLMs, SLMs, VLMs, multimodal models, and agentic workloads across post-training, inference, and deployment workflows
• Propose and evaluate novel compression methods (PTQ, QAT, pruning, low-rank approximation, etc) for on-device LLM/VLM enablement
• Devise approaches to address challenges related to long-context inference and KV cache compression in the context of reasoning and agentic applications
• Develop gradient-free and backpropagation-free methods for model merging, compression, and efficiency-driven optimization
• Implement and evaluate emerging efficient architectures and modules, including MoE, SSMs, hybrid models, Looped Transformers, etc
• Prototype inference-time optimization methods such as speculative decoding, constrained decoding, low-latency generation, and kernel-level optimization
• Build experimental pipelines, perform evaluations on standardized language, vision, reasoning, and agentic benchmarks
• Contribute to publications, technical reports, open-source releases, invention disclosures, and IP submissions where appropriate