ML Researcher — On-Device LLM Efficiency

Qualcomm; San Diego (CA); On-site; USD 138,800 - 208,200; Full time

Benefits offered by this job

Competitive discretionary bonus

Annual RSU grants

Benefits package

Job summary

Qualcomm Technologies, Inc. seeks a Machine Learning Researcher to conduct fundamental ML research that pushes beyond state-of-the-art performance. You will collaborate with cross-functional teams to advance ML methods for mobile, edge, auto, and IoT products.

The role emphasizes on-device AI deployment, efficient attention, and inference acceleration, with opportunities for publishing in top AI conferences and contributing to RSU programs.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• 4+ years AI research experience.
• Strong background in deep learning and Transformers.
• Proficiency with Python and PyTorch.
• Experience in LLM reasoning or inference acceleration research.

Responsibilities

• Research and development in LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training.
• Develop creative solutions with consideration of practical challenges on devices.
• Implementation and evaluation of possible solutions in both simulation and on-device environments.

Skills

Python

PyTorch

Transformers

LLM reasoning

Inference acceleration

Education

Master's degree in Computer Science

Master's degree in Electrical Engineering

PhD preferred

Tools

Python

PyTorch

Job description

Qualcomm Technologies, Inc. seeks a Machine Learning Researcher to conduct fundamental ML research that pushes beyond state-of-the-art performance. You will collaborate with cross-functional teams to advance ML methods for mobile, edge, auto, and IoT products.

The role emphasizes on-device AI deployment, efficient attention, and inference acceleration, with opportunities for publishing in top AI conferences and contributing to RSU programs.