AI Researcher, On-Device LLM Efficiency

Job overview

The AI Researcher, On-Device LLM Efficiency is an onsite role based in San Diego, CA, with a pay range of $138,800 to $208,200 per year. This position supports the Machine Learning Researcher group at Qualcomm by conducting fundamental research on LLM efficiency. The role exists to create innovative machine learning methodologies for on-device AI. It contributes to the team by researching and developing algorithms for inference acceleration and model architecture design to enhance mobile and edge products.

What you'll do

• Research LLM inference efficiency algorithms
• Develop efficient model architecture
• Implement and evaluate solutions in simulation and on-device
• Collaborate with cross-functional teams.

What we're looking for

Skills & competencies

contract

day shift

san diego ca

qualcomm

ai

llm

research

efficiency

inference

pytorch

$138.8k-$208.2k/yr

Work arrangement

• Weekend coverage required

Benefits & perks

• Competitive annual discretionary bonus program, RSU grants, and comprehensive benefits package.

Why this role

Requires strong background in deep learning and Transformers.

About the employer

Qualcomm is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.